Yahboom ROS2 Robot Car for Raspberry Pi 5 (with Pi 5 8GB)
Asin: B0CZ3T23GB | Model: With Pi 5 8GB | PartNumber: With Pi 5 8GB
As an Amazon Associate we earn a fee from qualifying purchases when you follow a link to Amazon from this page. We rank the products, but the links to Amazon are promotional.Using Raspberry Pi Os +Ros2-Humble, Python3 As The Programming Language..
The Car Body Is Made Of Anodized Aluminum Alloy, Combined With Unique Structural Design, Beautiful And Durable..
Gesture Recognition, Color Tracking, Mediapipe Attitude Detection, Lidar Mapping Navigation, Path Planning, Obstacle Tracking And Avoidance Can Be Easily Realized..
Equipped With Esp32-Micro Ros Robot Expansion Board, 310 Encoder Motor, Ms200 Lidar, 2Dof Cameraptz , Cool Cooler Pi 50 And Other Hardware Devices..
Features
- Suitable for the Raspberry Pi 5 board. Latestpower supply solution can provide 5.1V/5A power supply for the RPi 5, ensuring that the USB interface provides sufficient current to unleash the full performance of the RPi 5.
- Equipped with ESP32-Micro ROS robot expansion board, 310 encoder motor, MS200 lidar, 2DOF cameraPTZ , Cool cooler Pi 50 and other hardware devices.
- Using Raspberry Pi OS +ROS2-HUMBLE, Python3 as the programming language.
- Gesture recognition, color tracking, MediaPipe attitude detection, lidar mapping navigation, path planning, obstacle tracking and avoidance can be easily realized.
- The car body is made of anodized aluminum alloy, combined with unique structural design, beautiful and durable.
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Brand: Yahboom | Manufacturer: Yahboom
Warranty: 90
See On Amazon Similar To Yahboom ROS2 Robot Car for
#1
Yahboom Multifunctional Programming Development Board for Raspberry Pi Jetson Nano Orin Building ROS1 ROS2 Robot Expansion Board with 9-axis IMU Sensor STM32F103C8T6 Core (ROS Expansion Board)
Asin: B0BX539VH1
Multi-Functional Robot Expansion Board: The Control Board Is Equipped With A 9-Axis Imu Attitude Sensor, Which Can Obtain Real-Time Posture Information Of The Robot And Is Widely Used In Ros Robot Kit Development..
Support Ros1 And Ros2.
Fully Open Source Data: Provides Basic Peripheral Driver Routines Written In Stm32cubeide, Including Driving Encoder Motors, Pwm Servos, Serial Bus Servos, Reading And Solving 9-Axis Attitude Sensor Data, And Controlling Multiple Communication Interfaces; Open Hardware Schematic, Which Is More User-Friendly When Used With The Driver Routines..
Rich Peripheral Interfaces: The Expansion Board Supports 4-Way Encoder Motors, Which Can Drive Various Vehicle Types, Such As Mecanum Wheels, Four-Wheel Differentials, Tracks, Etc.; It Also Supports Pwm Servos And Serial Bus Servos, Which Can Adapt To Various Forms Of Robot Arm Development; It Also Supports Usb Serial Communication, Can Bus Communication, And Sbus Bus Communication..
Features
- Compatible with multiple development boards: Compatible with Raspberry Pi Jetson series development boards, Sunflower Pi, industrial control board development boards, and also has multiple power supply interface outputs, providing stable power supply for DIY expansion boards. Note: Development Board is temporarily NOT compatible with raspberry Pi 5
- Rich peripheral interfaces: The expansion board supports 4-way encoder motors, which can drive various vehicle types, such as mecanum wheels, four-wheel differentials, tracks, etc.; it also supports PWM servos and serial bus servos, which can adapt to various forms of robot arm development; it also supports USB serial communication, CAN bus communication, and SBUS bus communication.
- Multi-functional robot expansion board: The control board is equipped with a 9-axis IMU attitude sensor, which can obtain real-time posture information of the robot and is widely used in ROS robot kit development.
- Fully open source data: Provides basic peripheral driver routines written in STM32CUBEIDE, including driving encoder motors, PWM servos, serial bus servos, reading and solving 9-axis attitude sensor data, and controlling multiple communication interfaces; open hardware schematic, which is more user-friendly when used with the driver routines.
- Support ROS1 and ROS2
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Brand: Yahboom | Manufacturer: Yahboom
Warranty: 60
See On Amazon #2
Yahboom AI Visual ROS2 Smart Robot Car Kit for Raspberry Pi 5 2DOF Carmer Autonomous Driving Lidar Stem Education Project for Teen Engineers Students (Without Raspberry Pi5)
Asin: B0CWN5R5Y8 | Model: microROS robot Pi5 ver | PartNumber: microROS robot Pi5 ver
【Ms200 Lidar】Featuring A High-Performance Tof Laser Radar Resistant To 30Klux Strong Light, Supporting Indoor And Outdoor Mapping Navigation, Path Planning, And Obstacle Avoidance. It Extensively Explores Intelligent Driving In Modern Automobiles, With Radar Obstacle Avoidance, Tracking, And Patrol Providing Important Model Learning Experiences In Intelligent Industrialization..
【You Will Get】A Programmable Robot Kit With A Metal Chassis Structure, With Most Components Pre-Installed. It Includes An Expansion Board With Onboard Esp Coprocessing And A Six-Axis Imu, 310 Encoder-Reduced Motors, A 7.4V Rechargeable Battery, Raspberry Pi 5 (Depending On Version), Pi 5 Active Heat Sink,Lidar, And 2Dof Camera. The Combination Of High-Performance Hardware And Solid Electronic Course Content, Including Yahboom's Original Practical And Theoretical Courses,Technical Guidance.
Yahboom Provides A Virtual Machine Version Microros (B0cwnkvntr) That Does Not Require Any Master Control, Which Is A Cost-Effective Choice..
【Ai Visual Gameplay】The 2-Degree-Of-Freedom 2Mp Hd Camera Gimbal Is Utilized For Ai Visual Depth Development, Remote Control Through App Or Handle,Paired With The High Performance Of Raspberry Pi 5, Enabling Smooth Implementation Of Face, Qr Code, And Posture Recognition, Object Tracking, Line-Following Autonomous Driving, And Gesture Recognition Control..
【Ros2-Humble And Microros System Learning】This Intelligent Robot, Based On The Ros2 System's Humble Version, Is Widely Used, Highly Stable, And Offers Abundant Case Tutorials. It Employs Microros Communication Technology Between The Main Control And Driver Boards, With Open-Source Code And All-In-One Programming Software For Comprehensive Learning..
Features
- Developed for Raspberry Pi 5 The microROS Pi5 robot is developed based on the latest Raspberry Pi 5. Difference from previous Raspberry Pi versions is that this robot needs to solve special power supply problems in order to unleash the full performance of Raspberry Pi 5. At the same time, this smart robot is NOT compatible with pi 4B, 4, 3B+. Yahboom recommends choosing a dedicated Pi 5 Robot, which has 3X the performance of Pi4 and the algorithm runs more smoothly.
- ROS2-HUMBLE and microROS system learning This intelligent robot, based on the ROS2 system's Humble version, is widely used, highly stable, and offers abundant case tutorials. It employs MicroROS communication technology between the main control and driver boards, with open-source code and all-in-one programming software for comprehensive learning.
- MS200 Lidar Featuring a high-performance TOF laser radar resistant to 30Klux strong light, supporting indoor and outdoor mapping navigation, path planning, and obstacle avoidance. It extensively explores intelligent driving in modern automobiles, with radar obstacle avoidance, tracking, and patrol providing important model learning experiences in intelligent industrialization.
- AI visual gameplay The 2-degree-of-freedom 2MP HD camera gimbal is utilized for AI visual depth development, remote control through APP or handle,paired with the high performance of Raspberry Pi 5, enabling smooth implementation of face, QR code, and posture recognition, object tracking, line-following autonomous driving, and gesture recognition control.
- you will get A programmable robot kit with a metal chassis structure, with most components pre-installed. It includes an expansion board with onboard ESP coprocessing and a six-axis IMU, 310 encoder-reduced motors, a 7.4V rechargeable battery, Raspberry Pi 5 (depending on version), Pi 5 active heat sink,lidar, and 2DOF camera. The combination of high-performance hardware and solid electronic course content, including Yahboom's original practical and theoretical courses,technical guidance
- Yahboom provides a virtual machine version microROS (B0CWNKVNTR) that does not require any master control, which is a cost-effective choice.
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Brand: Yahboom | Manufacturer: Yahboom
See On Amazon #3
Yahboom EPS32 Raspberry Pi 5 MicroROS Expansion Board Compatible with Jetson Nano Integrates 6-Axis IMU Sensor, Robot Control Board for ROS2 and PC Virtual Machine Programming
Asin: B0CX3Z337D
【Expansion Board Input And Output Interface】The Input Interface Supports Six-Axis Imu, Ms200 Line Sequence Laser Radar, Hall Encoder Motor, And Custom Buttons; The Output Interface Supports 9G Servos, Led Indicators, Buzzers, And Motors. Power Supply Voltage Supports Dc6.5V-12.6V (7.4V Recommended)**Line Sequence Is Very Important, Please Check The Diagram To Confirm The Line Sequence Problem.
【With Open Source Information】Yahboom Provides Esp32 Basic Peripheral Driver Routines, Microros Development Environment Construction, And Microros Basic Usage Tutorials, Including Driving Encoder Motors, Pwm Servos, Reading Imu Six-Axis Attitude Sensors And Radar Data, Wifi And Serial Ports Communication..
【The Expansion Board Has A Stable Power Supply System】The Microros Expansion Board Has Reverse Connection, Short Circuit, Overcurrent, And Usb Communication Protection. It Also Has A Built-In High-Performance Voltage Stabilizing Circuit And Can Output A Power Supply Current Of Up To 5.1V/5A..
【Compatible With The Latest Raspberry Pi 5】 The Expansion Board Supports The Power Supply Protocol Of Raspberry Pi 5 And Has The Same Mounting Holes As The Raspberry Pi, Making It A Perfect Fit. Raspberry Pi 5 Can Complete Remote Communication And Serial Communication..
Features
- Lightweight ROS2 Driver Extension Board The microROS expansion board integrates the ESP32S2 core module, enabling ROS2 programming via WiFi-UDP with a remote PC virtual machine. This approach achieves ROS2 system learning at minimal cost. Additionally, it supports direct serial connection for remote control of ros robot cars using the latest Raspberry Pi 5, Jetson Nano, or RDK main control development boards.
- Compatible with the latest Raspberry Pi 5 The expansion board supports the power supply protocol of Raspberry Pi 5 and has the same mounting holes as the Raspberry Pi, making it a perfect fit. Raspberry Pi 5 can complete remote communication and serial communication.
- Expansion board input and output interface The input interface supports six-axis IMU, MS200 line sequence laser radar, Hall encoder motor, and custom buttons; the output interface supports 9G servos, LED indicators, buzzers, and motors. Power supply voltage supports DC6.5V-12.6V (7.4V recommended)**Line sequence is very important, please check the diagram to confirm the line sequence problem
- The expansion board has a stable power supply system The microROS expansion board has reverse connection, short circuit, overcurrent, and USB communication protection. It also has a built-in high-performance voltage stabilizing circuit and can output a power supply current of up to 5.1V/5A.
- With open source information Yahboom provides ESP32 basic peripheral driver routines, MicroROS development environment construction, and MicroROS basic usage tutorials, including driving encoder motors, PWM servos, reading IMU six-axis attitude sensors and radar data, WiFi and serial ports communication.
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Brand: Yahboom | Manufacturer: Yahboom
See On Amazon #4
Yahboom ROS2 Python elearning Kit Raspberry Pi 5 AI Smart Robotic Car Kit for Teens Adults Voice Recognition Conversation, Autopilot, Mapping Navigation Project Design for College Students
Asin: B0BHS4Z832
Rosmaster R2 Based On Robot Operating System. It Is Equipped With High-Performance Hardware Configuration Such As Lidar, Depth Camera, And Voice Interaction Module. It Can Realize Applications Such As Robot Motion Control, Remote Control Communication, Mapping And Navigation, Following Obstacle Avoidance, Autopilot, Human Body Feature Action Recognition, And Voice Interactive Control..
Excellent Hardware Configuration, Aluminum Alloy Body, 360 Omnidirectional Mecanum Wheels, Optional Lidar, High-Quality Depth Camera, Optional Voice Interaction Module, Professionally Designed Expansion Board. This Is A Professional Ros Robot That Supports More Development. Users Can Develop And Learn Again In The Existing Courses..
Multi-Platform Linkage, Rosmaster X3 Supports A Variety Of Remote Control Methods Such As Mobile Phone App, Handle, Ros System, Computer Keyboard, Etc. It Can Control Your Robot Car At Any Time, Import Your Code, And Is An Artificial Intelligence Robot That Listens To Your Instructions. Note, The Map Navigation App Only Supports Android Phones.
Competition-Level Ackerman Steering Structure, Rosmaster R2 Robot Car Uses The Steering Method Of Modern Cars And Adopts Aluminum Alloy Ackerman Chassis Structure. When The Robot Car Turns, The Angles Of The Inner And Outer Wheels Are Different, And The Turning Radius Of The Inner Tire Is Less Than The Turning Radius Of The Outer Tires Can Maximize The Performance Of The Robot Car..
Features
- Rosmaster R2 has 3 versions (Standard, Superior, Ultimate), which can be used with 4 development boards (Raspberry Pi 5, Jetson Nano 4GB, Jetson Orin Nano and Orin NX), please pay attention to whether the version you choose includes development board.The robot must be started based on the development board
- Competition-level Ackerman steering structure, Rosmaster R2 robot car uses the steering method of modern cars and adopts aluminum alloy Ackerman chassis structure. When the robot car turns, the angles of the inner and outer wheels are different, and the turning radius of the inner tire is less than The turning radius of the outer tires can maximize the performance of the robot car.
- ROSMASTER R2 based on robot operating system. It is equipped with high-performance hardware configuration such as lidar, depth camera, and voice interaction module. It can realize applications such as robot motion control, remote control communication, mapping and navigation, following obstacle avoidance, Autopilot, human body feature action recognition, and voice interactive control.
- Multi-platform linkage, rosmaster X3 supports a variety of remote control methods such as mobile phone APP, handle, ROS system, computer keyboard, etc. It can control your robot car at any time, import your code, and is an artificial intelligence robot that listens to your instructions. Note, The Map Navigation APP only supports Android phones
- Excellent hardware configuration, aluminum alloy body, 360 omnidirectional Mecanum wheels, optional lidar, high-quality depth camera, optional voice interaction module, professionally designed expansion board. This is a professional ROS robot that supports more development. Users can develop and learn again in the existing courses.
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Brand: Yahboom | Manufacturer: Yahboom
Dimensions: 3.00 x 3.00 x 3.00 Inches
Warranty: 90
See On Amazon #5
Yahboom Voice Recognition Playback Module Sound Sensor 85 Offline Voice Commands for DIY Robot Expanding Board Compatible with Arduino Raspberry Pi
Asin: B0C1BDWZV6
【Offline Voice Interaction Processing】 The Voice Interaction Module Is Equipped With An Offline Voice Chip, Which Is Free Of Programming And Easy To Use. The Human-Computer Interaction Function Can Be Realized By Obtaining The Recognition Result Through The Serial Port; In The Offline State, The Relevant Processing Is Performed According To The Content Of The Command Word, Or The Content Information Is Transmitted To The Host Computer For Further Processing. Related Processing..
【Equipped With Detailed Learning Materials】 Yahboom Has Prepared Comprehensive Learning Materials For Installing Voice Interaction Modules For Various Robots, From Learning Stm,Jetson Nano, And Raspberry Pi Code Programming. Provide Online Technical Support Guidance To Teach You How To Use Voice Recognition Easily..
【Support Multiple Development Boards And Ros Robots】 Support Raspberry Pi/Jetson Nano/Arduino/Stm32 Various Serial Communication Development Motherboards, Provide Development Materials, Case Materials Take Python Code As An Example, If You Need C Language Instructions, You Can Transplant Them Yourself According To The Data Manual. A Variety Of Yahboom Robots Have Been Equipped With This Intelligent Voice Interaction Module, Which Can Be Viewed In This Store..
【360° Effective Pickup】 The Front End Of The Voice Module Adopts A Dual-Microphone Array Algorithm, Which Can Realize User Voice Pickup Within 5M Of The 360° Far Field. Equipped With Automatic Vocal Gain, It Can Be Adaptively Adjusted According To The User's Volume To Ensure That The Overall Hearing Of The Audio After Noise Reduction Is Consistent..
Features
- Speech recognition broadcast function Based on CSK4002, it is an AlSoC with high performance, strong computing power and low power consumption for the development and design of the AloT field. The comprehensive wake-up rate is 95%, and the comprehensive recognition rate is 93%. The user wakes up the device and speaks the command word, and the device responds after recognition; the command word supports a variety of product scenarios and supports 85 voice command recognition.
- 360 Effective Pickup The front end of the voice module adopts a dual-microphone array algorithm, which can realize user voice pickup within 5m of the 360 far field. Equipped with automatic vocal gain, it can be adaptively adjusted according to the user's volume to ensure that the overall hearing of the audio after noise reduction is consistent.
- Offline Voice Interaction Processing The voice interaction module is equipped with an offline voice chip, which is free of programming and easy to use. The human-computer interaction function can be realized by obtaining the recognition result through the serial port; in the offline state, the relevant processing is performed according to the content of the command word, or the content information is transmitted to the host computer for further processing. related processing.
- Support multiple development boards and ROS robots Support Raspberry Pi/JETSON NANO/Arduino/STM32 various serial communication development motherboards, provide development materials, case materials take Python code as an example, if you need C language instructions, you can transplant them yourself according to the data manual. A variety of Yahboom robots have been equipped with this intelligent voice interaction module, which can be viewed in this store.
- Equipped with detailed learning materials Yahboom has prepared comprehensive learning materials for installing voice interaction modules for various robots, from learning STM,jetson nano, and Raspberry Pi code programming. Provide online technical support guidance to teach you how to use voice recognition easily.
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Brand: Yahboom | Manufacturer: Yahboom
Warranty: 3 month
See On Amazon #6
Yahboom AI Robotic Kit with Jetson Nano Radar ROS2 Smart Tank Car Robot Arm Kit for Adults Autonomous Navigation, 7-inch Touch Screen & Depth Camera Optional for Teens Adults
Asin: B09TFJP8QR
【Ai Function Combination】The Robot Integrates A Wealth Of Ai Functions, Such As Intelligent Patrol, Radar Guard And Tracking,3-Dof Flexible Grasping Of Manipulator, Fixed-Point Navigation, Automatic Driving, Color Recognition And Tracking, Ar Tag Recognition And Reality Enhancement, Visual Image Beautification, Face Detection, Lidar Mapping Navigation And Obstacle Avoidance, You Will Get The Open Source Code Provided By Yahboom To Realize More Possibilities..
【Version Difference】Transbot Has A Total Of 25 Versions, I To V Distinguish Between High-Definition Camera Or Depth Camera, Whether It Includes A Robotic Arm, Whether It Includes A 7-Inch Screen; In Addition, The Transbot Main Control Board Is Divided Into Jetson Nano Or Raspberry Pi, And The Raspberry Pi Is Divided Into 4B 4G Or 4B 8G, Please Check The Version You Need Carefully.
【Professional Hardware】 Transbot Has A High-End Aluminum Alloy Frame, Anti-Jamming Bearings, Slam Lidar, Powerful Coding Gear Motor, Metal Servo, Yaboom Professional Robot Expansion Board, Somatosensory Depth Camera (Optional), Quick Release Mechanism Arm (Optional), 7-Inch Screen (Optional), Which Makes The Robot Car Have A Powerful Ability To Overcome Obstacles.
【Courses And Help】At The Same Time, Yahboom Provides 64 Video Tutorials And Detailed Documentation. As Long As You Love Ros, This Is A Robot Not To Be Missed. It Is A Professional Gift That Makers And Programmers Dream Of. Yahboom Provides Professional Technical Help. If You Have Doubts About Robotics, I Hope You Can Leave Your Questions On The Page Or Contact Our Technical Support.
【Cross-Platform Interconnection Control】Robot Can Be Programmed Or Controlled In 4 Ways, ① Mobile Remote Control App Integrated With A Variety Of Ai Functions, ② Handle Control That Can Experience The Fpv Real-Time Visual Effects, ③ Jupyterlab Online Programming And ④ Professional Robot Operating System Control, A Variety Of Control Methods To Meet Different Occasions,In-Depth Experience Of The Fun Of Controlling Robots (★Note: Yahboom App Supports Ios&Android, Ros Robot App Only For Android).
【Rtab-Vslam 3D Visual Mapping Navigation】Astra Pro 3D Camera Provided By Version Iii Supports 3D Mapping Navigation Technology (Rtab) Containing Pure Vision And Visual Radar Fusion. Transbot Robot Can Navigate,Avoid Obstacles And Global Relocation In The 3D Map, And Quickly Obtain Image Data Such As Camera Depth Map, Color Map, And Skeleton Through The Corresponding Api., Based On The Image Related Kcf Filter Algorithm, Any Follow Target In The Image Can Be Selected. Beginning Of The 3D World.
Features
- Based on ROS Programmable Project Professional Kit Transbot uses the Rviz, Movelt, and Qt toolboxes in the robot operating system to realize the joint control of the robotic arm Movelt simulation and the real machine. You can also operate at any time on the 7-inch screen Note: check the version you ordered carefully
- RTAB-VSLAM 3D Visual Mapping Navigation Astra Pro 3D Camera provided by version III supports 3D mapping navigation technology (rtab) containing pure vision and visual radar fusion. Transbot robot can navigate,avoid obstacles and global relocation in the 3D map, and quickly obtain image data such as camera depth map, color map, and skeleton through the corresponding API., based on the image related KCF filter algorithm, any follow target in the image can be selected. Beginning of the 3D world
- AI Function Combination The robot integrates a wealth of AI functions, such as intelligent patrol, radar guard and tracking,3-DOF flexible grasping of manipulator, fixed-point navigation, automatic driving, color recognition and tracking, AR tag recognition and reality enhancement, visual image beautification, face detection, lidar mapping navigation and obstacle avoidance, you will get the open source code provided by Yahboom to realize more possibilities.
- Cross-platform Interconnection Control Robot can be programmed or controlled in 4 ways, Mobile remote control APP integrated with a variety of AI functions, handle control that can experience the FPV real-time visual effects, JupyterLab online programming and professional robot operating system control, a variety of control methods to meet different occasions,in-depth experience of the fun of controlling robots ( Note: Yahboom App supports iOS&Android, ROS robot APP only for Android)
- Professional hardware Transbot has a high-end aluminum alloy frame, anti-jamming bearings, SLAM lidar, powerful coding gear motor, metal servo, Yaboom professional robot expansion board, Somatosensory Depth Camera (optional), quick release mechanism Arm (optional), 7-inch screen (optional), which makes the robot car have a powerful ability to overcome obstacles
- Courses and Help At the same time, Yahboom provides 64 video tutorials and detailed documentation. As long as you love ROS, this is a robot not to be missed. It is a professional gift that makers and programmers dream of. Yahboom provides professional technical help. If you have doubts about robotics, I hope you can leave your questions on the page or contact our technical support
- Version difference Transbot has a total of 25 versions, I to V distinguish between high-definition camera or depth camera, whether it includes a robotic arm, whether it includes a 7-inch screen; in addition, the Transbot main control board is divided into Jetson Nano or Raspberry Pi, and the Raspberry Pi is divided into 4B 4G Or 4B 8G, please check the version you need carefully
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Brand: Yahboom | Manufacturer: Yahboom
Dimensions: 8.68 x 12.46 x 9.44 inches | Weight: 0.31 Pounds
Warranty: Free warranty for 3 months
See On Amazon #7
Yahboom Robot Operating System ROS2 Robot for Jetson Nano and Raspberry Pi 5 LIDA AI Python Programmabl Mecanum Wheel Chassis Car Robot Kit for Project Research Adult AI Programming Kit
Asin: B0B1JDGGM2
Rich Course Materials And Professional After-Sales Support Team: We Provides 103 Dual-Language Video Courses, And Online Technical Assistance (China Time). The Course Content Includes: Rosmaster X3 Assembly, Linux Operating System, Ros And Opencv Series Courses, Depth Camera And Lidar Mapping And Navigation Explanation, From Simple To In-Depth Learning Of Mapping And Navigation, This Is An In-Depth Learning Process, But We Recommend That There Are Programming Basic Users To Use This Robot Kit.
Very Important: All Rosmaster X3 Accessories Without A Development Board Are Also Different. For Example: Rosmaster X3 Without Raspberry Pi And Rosmaster X3 Without Jetson Nano, There Are Different Accessories In It, Make Sure What Development Board You Will Use In The Future Before Ordering..
Comprehensive Upgrade Course, Compatible With Ros2 System, Compatible With Raspberry Pi 5, You Can Choose The New Generation Of Jetson Orin Nano/Nx Development Board, The Performance Will Be Improved Even More.
Application Field: Rosmaster X3 Provides An Exploration Model For Professionals, Can Learn Algorithms, Obtain Terrain In An Unknown Field, Can Deeply Learn Ai Visual Recognition, Research Autonomous Driving, Explore 3D Object Recognition, Etc.Fully Upgraded The Ros2 Course..
Excellent Hardware Configuration: Aluminum Alloy Body, 360° Omnidirectional Mecanum Wheels, Optional Lidar, High-Quality Depth Camera, Optional Voice Interaction Module, Professionally Designed Expansion Board. This Is A Professional Ros Robot That Supports More Development. Users Can Develop And Learn Again In The Existing Courses. Note: Yahboom Only Provides Technical Assistance For Existing Courses. All In-Depth Development Needs To Be Completed By Customers Themselves..
Multi-Platform Linkage: Rosmaster X3 Supports A Variety Of Remote Control Methods Such As Mobile Phone App, Handle, Ros System, Computer Keyboard, Etc. It Can Control Your Robot Car At Any Time, Import Your Code, And Is An Artificial Intelligence Robot That Listens To Your Instructions. Note: The Map Navigation App Only Supports Android Phones.
In-Depth Exploration Of Ai Algorithms And Intelligent Robots: Rosmasrer X3 Is Equipped With A Depth Camera, Lidar, And Voice Interaction Module, Which Can Realize Ros Operating System, Rtab 3D Mapping Navigation, Pcl 3D Point Cloud, Slam Mapping Navigation, Machine Vision Applications, Voice Interactive Control, Python Programming, Stm32 Development, Mediapipe Development, Yolo Model Training, Tensorrt Acceleration (Note: Different Features Depend On The Version You Choose).
Features
- ROS robotic learning kit for multiple versions: Yahboom provides 4 development board versions of ROSMASRER X3, you can freely choose jetson series development board or Raspberry Pi 5, based on the different performance issues of these development boards, The smoothness of operation is worth considering, Yahboom recommends the cost-effective Jetson orin For detailed and comprehensive introduction, please view the video on the details page: rosmaster x3
- In-depth exploration of AI algorithms and intelligent robots: ROSMASRER X3 is equipped with a depth camera, lidar, and voice interaction module, which can realize ROS operating system, RTAB 3D mapping navigation, PCL 3D point cloud, SLAM mapping navigation, Machine vision applications, Voice interactive control, Python programming, STM32 development, MediaPipe development, YOLO model training, TensorRT acceleration (Note: Different features depend on the version you choose)
- Rich course materials and professional after-sales support team: We provides 103 dual-language video courses, and online technical assistance (China time). The course content includes: ROSMASTER X3 assembly, Linux operating system, ROS and openCV series courses, depth camera and lidar mapping and navigation explanation, from simple to in-depth learning of mapping and navigation, this is an in-depth learning process, but we recommend that there are Programming basic users to use this robot kit
- Multi-platform linkage: rosmaster X3 supports a variety of remote control methods such as mobile phone APP, handle, ROS system, computer keyboard, etc. It can control your robot car at any time, import your code, and is an artificial intelligence robot that listens to your instructions. Note: The Map Navigation APP only supports Android phones
- Application field: rosmaster X3 provides an exploration model for professionals, can learn algorithms, obtain terrain in an unknown field, can deeply learn AI visual recognition, research autonomous driving, explore 3D object recognition, etc.Fully upgraded the ROS2 course.
- Excellent hardware configuration: aluminum alloy body, 360 omnidirectional Mecanum wheels, optional lidar, high-quality depth camera, optional voice interaction module, professionally designed expansion board. This is a professional ROS robot that supports more development. Users can develop and learn again in the existing courses. Note: Yahboom only provides technical assistance for existing courses. All in-depth development needs to be completed by customers themselves.
- VERY IMPORTANT: All ROSMASTER X3 accessories without a development board are also different. For example: ROSMASTER X3 without Raspberry Pi and ROSMASTER X3 without Jetson Nano, there are different accessories in it, make sure what development board you will use in the future before ordering.
- Comprehensive upgrade course, compatible with ros2 system, compatible with raspberry pi 5, you can choose the new generation of jetson orin nano/nx development board, the performance will be improved even more
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Brand: Yahboom | Manufacturer: Yahboom
Warranty: 90
See On Amazon #8
Yahboom ESP32 Smart Robotics ROS2 Humble Robot Kit microROS Robot Car Virtual Machine as Controler 4WD Car,DIY Electronic Python Programming Project for 18+ Teens Adults
Asin: B0CWNKVNTR | Model: microROS robot virtual machine version | PartNumber: microROS robot virtual machine version
The Microros Robot Kit Features A Fully Enclosed Metal Chassis Structure That Neatly Conceals Exposed Wires, Presenting A Tidy And Aesthetically Pleasing Appearance. Constructed From Anodized Aluminum Alloy Material, It Is Durable And Wear-Resistant..
Yahboom Offers Original Practical And Theoretical Courses, Including Comprehensive Tutorials On Low-Level Hardware Drivers, Robot Control And Gameplay, As Well As The Setup Of Linux Operating Systems, Docker Development Environments, Ros2, And Microros Control Board Development Environments. These Rich Tutorials Help Users Quickly Learn, And If There Are Any Difficulties, Professional Technical Support Is Available From Yahboom At Any Time..
Ros Smart Robot With Orbbec Ms200 Tof Lidar Supports Indoor And Outdoor Mapping Navigation, And Measurement Speed Is Accurate And Fast; Expansion Board Integrates Esp32s3 Dual-Core Development Board, Has Rich Ros2 Driver Controller Onboard, Comes With Its Own Peripheral Driver Firmware Program. Directly Connected To Ros2 Environment For Use, Simple And Efficient; 7.4V-2000Mah Battery Life 5Hs, Md310z20 Metal Encoder Motor.Hp Accessories Provide A Solid Foundation For Smooth Robot Programming.
Using Microros, The Robot Can Transmit Chassis Data To A Pc Virtual Machine, Enabling Lidar Mapping Navigation, Path Planning, Navigation Obstacle Avoidance, Tracking, Lidar Guard And Patrol, As Well As Multi-Robot Navigation. It Supports Rviz Simulation, Providing Intuitive Visual Feedback To Help Users Understand The Status And Operation Of Lidar, Map Construction, And Path Planning. This Makes It An Excellent Tool For Learning Ros Robot Programming Knowledge..
Features
- Robots use virtual machines as their main control system to efficiently implement ROS2 applications via microROS on resource-constrained hardware platforms. This approach eliminates the need for expensive Linux edge computing devices like Jetson or Raspberry Pi, enabling cost-effective learning of ROS2, improving algorithm computation efficiency, and expanding DIY ideas.
- Using microROS, the robot can transmit chassis data to a PC virtual machine, enabling LiDAR mapping navigation, path planning, navigation obstacle avoidance, tracking, LiDAR guard and patrol, as well as multi-robot navigation. It supports Rviz simulation, providing intuitive visual feedback to help users understand the status and operation of LiDAR, map construction, and path planning. This makes it an excellent tool for learning ROS robot programming knowledge.
- The microROS robot kit features a fully enclosed metal chassis structure that neatly conceals exposed wires, presenting a tidy and aesthetically pleasing appearance. Constructed from anodized aluminum alloy material, it is durable and wear-resistant.
- ROS smart robot with ORBBEC MS200 TOF lidar supports indoor and outdoor mapping navigation, and measurement speed is accurate and fast; expansion board integrates ESP32S3 dual-core development board, has rich ROS2 driver controller onboard, comes with its own peripheral driver firmware program. Directly connected to ROS2 environment for use, simple and efficient; 7.4V-2000mAh battery life 5Hs, MD310Z20 metal encoder motor.HP accessories provide a solid foundation for smooth robot programming
- Yahboom offers original practical and theoretical courses, including comprehensive tutorials on low-level hardware drivers, robot control and gameplay, as well as the setup of Linux operating systems, Docker development environments, ROS2, and microROS control board development environments. These rich tutorials help users quickly learn, and if there are any difficulties, professional technical support is available from Yahboom at any time.
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Brand: Yahboom | Manufacturer: Yahboom
Dimensions: 3.00 x 5.00 x 4.00 Inches
See On Amazon #9
Yahboom Silan Lidar Sensor ROS Robot TOF Range Navigation 3D Scanner Laser Measurement Tool RPLIDAR A1
Asin: B09K3VB14L | Model: 1 | PartNumber: 1
Safe Laser Standards ▶ The Ranging Core Of The Rplidar Radar Rotates Clockwise To Achieve A 360-Degree Omni-Directional Scanning And Ranging Detection Of The Surrounding Environment, Which Can Obtain A Contour Map Of The Surrounding Environment.We Use A Low-Power Infrared Laser As The Emitting Light Source, Which Meets The Safety Standards Of Class 1 Lasers And Reaches The Level Of Human Eye Safety..
Wide Range Of Applications ▶ Widely Used In Service Robot Navigation And Obstacle Avoidance, Agv Vehicle Obstacle Detection And Avoidance, Parking Space Detection, Multi-Touch And Large Screen Interaction, Environmental Scanning And 3D Reconstruction, Drone Mapping And Obstacle Avoidance..
Full Support For Ros1 And Ros2.
No-Brush Motor & Lower Noise ▶ Abandoning The Belt Drive In The First Generation, Using The Self-Designed No-Brush Motor, Reducing The Mechanical Friction During Operation, The Operation Is Very Smooth, And There Is Almost No Noise..
Choose Version ▶ Use This Lidar Indoors Or Outdoors? Triangular Ranging Or Tof Ranging? The Measurement Frequency Is From 8000 Times/S To 32000 Times/S, And The Scanning Frequency Is From 10Hz To 20Hz. According To Your Specific Needs, Select The Corresponding Lidar.
Features
- SLAM Lidar Series Silan lidar range of products, RPLIDAR A1/A1 up/C1, gift ROS robot information and professional technical support
- Choose Version Use this lidar indoors or outdoors? Triangular ranging or TOF ranging? The measurement frequency is from 8000 times/s to 32000 times/s, and the scanning frequency is from 10Hz to 20Hz. According to your specific needs, select the corresponding lidar
- Safe Laser Standards The ranging core of the RPLIDAR radar rotates clockwise to achieve a 360-degree omni-directional scanning and ranging detection of the surrounding environment, which can obtain a contour map of the surrounding environment.We use a low-power infrared laser as the emitting light source, which meets the safety standards of Class 1 lasers and reaches the level of human eye safety.
- No-brush Motor & Lower Noise Abandoning the belt drive in the first generation, using the self-designed no-brush motor, reducing the mechanical friction during operation, the operation is very smooth, and there is almost no noise.
- Wide Range of Applications Widely used in service robot navigation and obstacle avoidance, AGV vehicle obstacle detection and avoidance, parking space detection, multi-touch and large screen interaction, environmental scanning and 3D reconstruction, drone mapping and obstacle avoidance.
- Full support for ROS1 and ROS2
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Brand: Yahboom | Manufacturer: Yahboom
Dimensions: 2.36 x 2.76 x 3.94 inches
See On Amazon #10
Package 1 Free Combination DIY Robot kit
Asin: B0CGDH4W2W
Features
- This is a basic robot car frame, you will need many other accessories to complete the construction of the project
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Brand: Yahboom
See On Amazon #11
Yahboom ROS Programmable AI Robot Car with Robotic Arm to Build Experimental Project Kit Metal Chassis Open Source CV Project Learning Research Adulds(X3 Plus with Xaver NX 8G)
Asin: B0CFL6RGPP | Model: rosmaster x3 plus | PartNumber: rosmaster x3 plus
You May Need To Take Some Time To Understand The Functional Gameplay Involved In The Rosmaster X3 Plus, As The Robot Car Is A Bit High..
Rosmaster X3 Plus Is Based On The Ros Operating System. Through Python Programming, It Can Learn Robot Arm Movelt Simulation, Mapping And Navigation, Stm32 Underlying Development, Maeiapipe Development, Cartesian Path Planning And Various Algorithms. Yahboom Provides Open Source Cv, And Provides 124 Video Courses From Shallow To Deep (Dual Subtitles).
Cross-Platform Interconnection Control, Dual App Control, Real-Life First-Person Controller, Jupyter Lab Programming Control, Ros System Control.
Rosmaster X3 Plus Has 4 Versions, The Difference Lies In The Main Control Board, Namely Raspberry Pi 5, Jetson Nano 4Gb, Jetson Orin Nano，Orin Nx, Jetson Xavier Nx. There Are A Few Differences, Choose According To Your Needs. The Main Body Of The Robot Car Has Been Assembled, And The User Can Start Programming And Operating The Robot As Long As The Installation Of The Construction Order Is Completed..
Exploring Function And Gameplay: For Example, Voice-Controlled Robot Driving Can Also Be Combined With Robotic Arms For Voice-Controlled Grabbing And Other Actions, Supporting Orbslam2, Rtab-Map 3D, Rrt Exploration, Gmapping, Hector, Karto, Cartographer And Other Algorithms For Mapping, Voice, Lidar , Rtab-Map 3D And Other Navigation Methods, Conventional Obstacle Avoidance, Following, Recognition, Bone Detection, Etc. Are All Functions That Can Be Quickly Implemented..
Features
- Flagship configuration: ORBBEC Astra Pro depth camera, high-definition touch adjustable 7-inch screen, 6-DOF robotic arm with camera AI camera, YDLIDAR 4ROS TOF ranging lidar, 80mm large-size Mecanum wheel, 520 Hall coding Geared motor, 9600MAH lithium battery pack, epoxy color road alloy body structure. All accessories will bring you the ultimate programming and control experience.
- Exploring function and gameplay: For example, voice-controlled robot driving can also be combined with robotic arms for voice-controlled grabbing and other actions, supporting ORBSLAM2, Rtab-Map 3D, RRT exploration, gmapping, hector, karto, cartographer and other algorithms for mapping, voice, lidar , Rtab-Map 3D and other navigation methods, conventional obstacle avoidance, following, recognition, bone detection, etc. are all functions that can be quickly implemented.
- You may need to take some time to understand the functional gameplay involved in the Rosmaster X3 Plus, as the robot car is a bit high.
- Rosmaster X3 Plus has 4 versions, the difference lies in the main control board, namely Raspberry Pi 5, Jetson nano 4GB, Jetson Orin nano Orin nx, Jetson Xavier NX. There are a few differences, choose according to your needs. The main body of the robot car has been assembled, and the user can start programming and operating the robot as long as the installation of the construction order is completed.
- Rosmaster X3 Plus is based on the ROS operating system. Through Python programming, it can learn robot arm Movelt simulation, mapping and navigation, STM32 underlying development, MaeiaPipe development, Cartesian path planning and various algorithms. Yahboom provides open source CV, and provides 124 video courses from shallow to deep (dual subtitles)
- Cross-platform interconnection control, dual APP control, real-life first-person controller, Jupyter Lab programming control, ROS system control
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Brand: Yahboom | Manufacturer: Yahboom
Warranty: 90
See On Amazon #12
Yahboom MicroROS Expansion Board EPS32 Compatible with Arduino Raspberry Pi 5 4B Jetson Nano
Asin: B0D1YCHSG2
【Learning Robots】These Styles Of Chassis Platform Models Are A Good Helper When You Learn Robotics, Embedded Systems, Python Programming, And Ros Systems. From Learning Stem32, Arduino, Jetson Nano, Raspberry Pi Code Programming, To Robot Component Combination Installation Coding, To How To Make A Robot Of Your Own, Yahboom's Chassis Kit Is A Good Framework To Start Operating..
【Expansion Board Input And Output Interface】The Input Interface Supports Six-Axis Imu, Ms200 Line Sequence Laser Radar, Hall Encoder Motor, And Custom Buttons; The Output Interface Supports 9G Servos, Led Indicators, Buzzers, And Motors. Power Supply Voltage Supports Dc6.5V-12.6V (7.4V Recommended)**Line Sequence Is Very Important, Please Check The Diagram To Confirm The Line Sequence Problem.
【Lightweight Ros2 Driver Extension Board】The Microros Expansion Board Integrates The Esp32s2 Core Module, Enabling Ros2 Programming Via Wifi-Udp With A Remote Pc Virtual Machine. This Approach Achieves Ros2 System Learning At Minimal Cost. Additionally, It Supports Direct Serial Connection For Remote Control Of Ros Robot Cars Using The Latest Raspberry Pi 5, Jetson Nano, Or Rdk Main Control Development Boards..
【Extremely Expandable】The Chassis Kits Reserves Enough And Reasonable Holes For Diy Makers To Carry Out Later Expansion. It Is Easy To Install Various Robot Accessories Such As Various Development Boards, Radars, Cameras, Gimbals, And Sensor Modules. It Is Widely Used In School Teaching Projects, Technology Competitions And Diy Enthusiasts..
Features
- Double-layer structure The chassis has a double-layer aluminum alloy, the overall structure is compact, and the motor also uses a small 310 encoder DC reduction motor. It is a mini DIY desktop competition robot car. Reasonable drilling can be compatible with more sensors on the market
- Extremely Expandable The chassis kits reserves enough and reasonable holes for DIY makers to carry out later expansion. It is easy to install various robot accessories such as various development boards, radars, cameras, gimbals, and sensor modules. It is widely used in school teaching projects, technology competitions and DIY enthusiasts.
- Learning Robots These styles of chassis platform models are a good helper when you learn robotics, embedded systems, Python programming, and ROS systems. From learning STEM32, arduino, jetson nano, raspberry Pi code programming, to robot component combination installation coding, to how to make a robot of your own, Yahboom's chassis kit is a good framework to start operating.
- Lightweight ROS2 Driver Extension Board The microROS expansion board integrates the ESP32S2 core module, enabling ROS2 programming via WiFi-UDP with a remote PC virtual machine. This approach achieves ROS2 system learning at minimal cost. Additionally, it supports direct serial connection for remote control of ros robot cars using the latest Raspberry Pi 5, Jetson Nano, or RDK main control development boards.
- Expansion board input and output interface The input interface supports six-axis IMU, MS200 line sequence laser radar, Hall encoder motor, and custom buttons; the output interface supports 9G servos, LED indicators, buzzers, and motors. Power supply voltage supports DC6.5V-12.6V (7.4V recommended)**Line sequence is very important, please check the diagram to confirm the line sequence problem
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Brand: Yahboom | Manufacturer: Yahboom
Warranty: 90
See On Amazon #13
ESP32 MicroROS Robot Car Virtual Machine as Controller(MAC Not Support)
Asin: B0CZ6WGQC1 | Model: ESP32 MicroROS Robot | PartNumber: ESP32 MicroROS Robot
The Microros Control Board Integrates The Esp32s3 Core Module Onboard Control, Motor Drive, Servo Drive, Six-Axis Imu Attitude Sensor And Other Important Peripherals, Support Wifi, Bluetooth, Serial Port And Other Communication Functions, Support Power Supply For Raspberry Pi 5Pd, Users Can Directly Access The Ros2 Environment For Use, Easy To Operate And Use Simple And Efficient; Built-In 310 Motor, The Metal Material Is Wear-Resistant And Durable To Extend Its Service Life, And Provides Precise And Stable Motion Control..
[Functional Project] The Microros Robot Transfers Chassis Data To The Pc Virtual Machine Through Microros To Realize Lidar Mapping And Navigation, Path Planning, Navigation And Obstacle Avoidance, Tracking, Radar Guarding And Patrolling, And Multi-Machine Navigation. It Supports Rviz Simulation And Provides Intuitive Images. Feedback Helps Users Understand The Status And Operation Process Of Radar, Map Construction And Path Planning. This Is An Excellent Helper For Learning Ros Robot Programming Knowledge..
[Practical Training And Theoretical Courses Provided By Yahboom] Include Comprehensive Low-Level Hardware Driver Tutorials, Robot Control And Gameplay, As Well As Linux Operating System, Docker Development Environment, Ros2, Microros Control Board Development Environment Construction, Etc. Rich Tutorials Help Users Learn Quickly. Please Note: Yahboom Provides Materials In Chinese And English..
【Compatible With Ros2 Top Stem Starter Kit】Parents Love This Robotics Kit Because It Is A Fun And Educational Way To Introduce Their Children To The World Of Robotics. The Best Toy Educational Robots For Teaching Stem Skills, Coding, And Programming..
[Accessories With Excellent Performance] Ms200 Adopts Tof Ranging Method, Is Fully Compatible With Ros2, Supports Indoor And Outdoor Mapping Navigation, Fully Supports 360° Scanning Detection, And Easily Realizes 3D Mapping;.
Features
- [Using a PC virtual machine as the main control] MicroROS Robot is a ROS2 smart car that uses a PC virtual machine as the main control. The performance of the PC is greatly improved compared to motherboards such as Raspberry Pi and Jetson, and it supports flexible adjustment and expansion of the virtual machine. System resources, easy to back up and restore the system, with excellent cost performance. No need for expensive Raspberry Pi or Jetson development board, use ROS2 to program robots at low cost.
- [Accessories with excellent performance] MS200 adopts TOF ranging method, is fully compatible with ROS2, supports indoor and outdoor mapping navigation, fully supports 360 scanning detection, and easily realizes 3D mapping;
- the MicroROS control board integrates the ESP32S3 core module onboard Control, motor drive, servo drive, six-axis IMU attitude sensor and other important peripherals, support WiFi, Bluetooth, serial port and other communication functions, support power supply for Raspberry Pi 5PD, users can directly access the ROS2 environment for use, easy to operate and use Simple and efficient; built-in 310 motor, the metal material is wear-resistant and durable to extend its service life, and provides precise and stable motion control.
- Compatible with ROS2 Top STEM Starter Kit Parents love this robotics kit because it is a fun and educational way to introduce their children to the world of robotics. The best toy educational robots for teaching STEM skills, coding, and programming.
- [Functional Project] The microros robot transfers chassis data to the PC virtual machine through microROS to realize lidar mapping and navigation, path planning, navigation and obstacle avoidance, tracking, radar guarding and patrolling, and multi-machine navigation. It supports Rviz simulation and provides intuitive images. Feedback helps users understand the status and operation process of radar, map construction and path planning. This is an excellent helper for learning ROS robot programming knowledge.
- [Practical training and theoretical courses provided by Yahboom] include comprehensive low-level hardware driver tutorials, robot control and gameplay, as well as Linux operating system, Docker development environment, ROS2, microROS control board development environment construction, etc. Rich tutorials help users learn quickly. Please note: Yahboom provides materials in Chinese and English.
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Brand: Yahboom | Manufacturer: Yahboom
Warranty: 90
See On Amazon #14
Yahboom Robot Car Chassis for arduino, 4WD Smart Robotic Car Chassis, with Coding Motor, Wheels, Metal Laminate, Suitable for DIY Educational Robot Car Kit
Asin: B0CWTYHH8Y | Model: Sus-Chassis with 4WD(M) | PartNumber: Sus-Chassis with 4WD(M)
Md520z30_12V High-Precision Hall Speed Encoder Motor, All-Metal Gear Reduction Box, Strong Magnetic Carbon Brush Anti-Interference, High-Power Performance, Providing Sufficient Power For The Robot Car.
The Robot Chassis Kit Is Made Of 3 Layers Of Solid Aluminum Alloy, Size: 231*192*135Mm, Maximum Load Is 2000G.Yahboom Provides An Entry-Level Open Source App.
The Smart Robot Car Chassis Has Plenty Of Fixed Mounting Holes And Room For Expansion To Add Various Sensors, Actuators And Controllers (Such As Arduino, Raspberry Pi, Micro Bit)..
65Mm Classic High-Friction Rubber Tires, Abs Wheels With Moderate Hardness, And Hexagonal Pure Copper Couplings, Suitable For Most Smart Cars.
Features
- Pendulum suspension structure: The robot can effectively adapt to uneven ground when driving on uneven roads, ensuring that all four wheels touch the ground at the same time, avoiding wheel slippage and affecting motor encoder recognition.
- 65mm classic high-friction rubber tires, ABS wheels with moderate hardness, and hexagonal pure copper couplings, suitable for most smart cars
- MD520Z30_12V high-precision Hall speed encoder motor, all-metal gear reduction box, strong magnetic carbon brush anti-interference, high-power performance, providing sufficient power for the robot car
- The smart robot car chassis has plenty of fixed mounting holes and room for expansion to add various sensors, actuators and controllers (such as Arduino, Raspberry Pi, Micro bit).
- The robot chassis kit is made of 3 layers of solid aluminum alloy, size: 231*192*135MM, maximum load is 2000g.Yahboom provides an entry-level open source APP
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Brand: Yahboom | Manufacturer: Yahboom
Dimensions: 3.00 x 3.00 x 3.00 Inches
See On Amazon #15
Yahboom ROS Robot Kit Sunburst RDK X3 Based on Horizon Sunrise X3 Board SLAM Map Navigation Depth Camera Visual Recognition ROS2 Educational Robotic (Advanced Edition)
Asin: B0CGHRP9ZT | Model: RDK X3 | PartNumber: RDK X3
The All-Aluminum Alloy Chassis Is Matched With Mecanum Wheel Four-Wheel Drive Independent Drive, And The Cubic Integrated Stacking Compact Mini Structure Has Strong Mobility And Flexibility, And Is Suitable For Indoor Development And Research.
Yahboom Provides 78 Robot Tutorials Such As Opencv Image Processing, Multi-Platform Robot Manipulation, And Robot Kinematics Analysis. If You Have Any Questions About Robots, You Can Get Online Professional Technical Support And Help.
The Robot Kit Is Based On Ros2 And Togetherros Robot Operating Systems, Equipped With High-Performance Hardware Configurations Such As Radar, Depth Camera, And Multi-Function Expansion Boards, And Realizes Ultra-Multifunctional Applications Such As Visual Line Inspection, Image Classification, Target Inspection, And Radar Mapping And Navigation..
Features
- As the main control development board of RDK X3 robot, Sunrise X3 board has 5TOPS computing power and Max 10w power consumption. Compared with raspberry pi, STEM32, UNO has higher computing power and lower power consumption, and is compatible with mainstream hardware interfaces in the market. It is an excellent alternative to raspberry pi and jetson nano, and an embedded AI development board for ecological developers.
- The robot kit is based on ROS2 and TogetherROS robot operating systems, equipped with high-performance hardware configurations such as radar, depth camera, and multi-function expansion boards, and realizes ultra-multifunctional applications such as visual line inspection, image classification, target inspection, and radar mapping and navigation.
- The all-aluminum alloy chassis is matched with Mecanum wheel four-wheel drive independent drive, and the cubic integrated stacking compact mini structure has strong mobility and flexibility, and is suitable for indoor development and research
- Yahboom provides 78 robot tutorials such as OpenCV image processing, multi-platform robot manipulation, and robot kinematics analysis. If you have any questions about robots, you can get online professional technical support and help
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Brand: Yahboom | Manufacturer: Yahboom
Dimensions: 5.00 x 3.00 x 4.00 Inches
See On Amazon #16
Package 2 Free Combination DIY Robot kit
Asin: B0CGDQC1L6
Features
- This is a basic robot car frame, you will need many other accessories to complete the construction of the project
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Brand: Yahboom
See On Amazon #17
Package 3 Free Combination DIY Robot kit
Asin: B0CGDPFX9L
Features
- This is a basic robot car frame, you will need many other accessories to complete the construction of the project
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Brand: Yahboom
See On Amazon #18
Rosmaster R2 Robot Kit Standard Ver Programmable AI Vision Recognition Robot Kit Learn Electronic Science Projects, ROS2 Beginners, and Collision Prevention Function (with Jetson Nano B01)
Asin: B0CCYJ6G2H
【Hardware Configuration】Robot Is Constructed With Aluminum Alloy And Incorporates Various High-Performance Hardware Components, Including 520 Hall-Effect Encoder Gear Motors, Omnidirectional Mecanum Wheels, Lidar, 3D Depth Camera, Intelligent Serial Bus Servos, Multifunctional Expansion Board, Motor Drivers, And A 12V 6000Mah Lithium Battery. Please Note That Our Technical Support Is Limited To Existing Learning Tutorials And Does Not Provide Assistance For Secondary Development..
【Ai-Driven Intelligent Ros Robot】The Rosmaster R2 Is A Professional Robot Platform Designed For Ros Learning And Development, Supporting The Robot Operating System (Ros). It Utilizes Mainstream Deep Learning Frameworks In Combination With Mediapipe Development, Supporting Yolo Model Training And Utilizing Tensorrt For Acceleration. This Combination Offers Various 3D Machine Vision Applications, Including Autonomous Driving, Automatic Grasping And Transportation, And Kcf Object Tracking..
【Slam Development And Versatile Configurations】The Rosmaster R2 Employs A Wide Range Of Advanced Algorithms, Including Gmapping, Hector, Karto, And Cartographer, Enabling Precise Multi-Point Navigation, Teb Path Planning, And Dynamic Obstacle Avoidance. Utilizing 3D Vision, It Can Capture Point Cloud Images Of The Environment For Rtab 3D Mapping And Navigation..
【Rosmaster R2 Features】This Robot Car Kit Stands Out From Other Ros Vehicles Due To Its Ackermann Chassis Structure. The Ackermann Structure Is A Standard Design In Modern Automobiles, And The Omnidirectional Mecanum Wheels Are The Fundamental Choice For Versatile Mobility. If Your Goal Is To Conduct Research In Autonomous Driving, The Rosmaster R2 Is A Worthy Ros Robot Kit To Consider..
Features
- rosmaster r2 Version Selection We offer three configurations for the rosmaster r2: Standard, Deluxe, and Flagship versions. Please refer to the image for the differences in configurations. Additionally, it is important to distinguish the type of development board being used, whether it's a Raspberry Pi or Jetson Nano.
- rosmaster r2 Features This robot car kit stands out from other ROS vehicles due to its Ackermann chassis structure. The Ackermann structure is a standard design in modern automobiles, and the omnidirectional Mecanum wheels are the fundamental choice for versatile mobility. If your goal is to conduct research in autonomous driving, the rosmaster R2 is a worthy ROS robot kit to consider.
- Hardware Configuration Robot is constructed with aluminum alloy and incorporates various high-performance hardware components, including 520 Hall-Effect Encoder Gear Motors, omnidirectional Mecanum wheels, LiDAR, 3D depth camera, intelligent serial bus servos, multifunctional expansion board, motor drivers, and a 12V 6000mAh lithium battery. Please note that our technical support is limited to existing learning tutorials and does not provide assistance for secondary development.
- SLAM Development and Versatile Configurations The rosmaster r2 employs a wide range of advanced algorithms, including gmapping, hector, karto, and cartographer, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance. Utilizing 3D vision, it can capture point cloud images of the environment for RTAB 3D mapping and navigation.
- AI-Driven Intelligent ROS Robot The rosmaster r2 is a professional robot platform designed for ROS learning and development, supporting the Robot Operating System (ROS). It utilizes mainstream deep learning frameworks in combination with MediaPipe development, supporting YOLO model training and utilizing TensorRT for acceleration. This combination offers various 3D machine vision applications, including autonomous driving, automatic grasping and transportation, and KCF object tracking.
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Brand: Yahboom | Manufacturer: Yahboom
See On Amazon #19
Yahboom Rosmaster R2 Robot Kit Superior Ver Depth Camera 3D Mapping Navigation Kit Programmable AI Vision Recognition, Collision Prevention Function, Suitable for Adults with Raspberry Pi 4B
Asin: B0CCYJ23Z8
High-Performance Hardware Configurationthe Rosmaster R2 Is Constructed With Aluminum Alloy And Incorporates Various High-Performance Hardware Components, Including 520 Hall-Effect Encoder Gear Motors, Omnidirectional Mecanum Wheels, Lidar, 3D Depth Camera, Intelligent Serial Bus Servos, Multifunctional Expansion Board, Motor Drivers, And A 12V 6000Mah Lithium Battery..
Ai-Driven Intelligent Ros Robotthe Rosmaster R2 Is A Professional Robot Platform Designed For Ros Learning And Development, Supporting The Robot Operating System (Ros). It Utilizes Mainstream Deep Learning Frameworks In Combination With Mediapipe Development, Supporting Yolo Model Training And Utilizing Tensorrt For Acceleration..
Slam Development And Versatile Configurationsthe Rosmaster R2 Employs A Wide Range Of Advanced Algorithms, Including Gmapping, Hector, Karto, And Cartographer, Enabling Precise Multi-Point Navigation, Teb Path Planning, And Dynamic Obstacle Avoidance. Utilizing 3D Vision, It Can Capture Point Cloud Images Of The Environment For Rtab 3D Mapping And Navigation..
Rosmaster R2 Featuresthis Robot Car Kit Stands Out From Other Ros Vehicles Due To Its Ackermann Chassis Structure. The Ackermann Structure Is A Standard Design In Modern Automobiles, And The Omnidirectional Mecanum Wheels Are The Fundamental Choice For Versatile Mobility..
Features
- rosmaster r2 Version SelectionWe offer three configurations for the rosmaster r2: Standard, Deluxe, and Flagship versions. Please refer to the image for the differences in configurations. Additionally, it is important to distinguish the type of development board being used, whether it's a Raspberry Pi or Jetson Nano.
- rosmaster r2 FeaturesThis robot car kit stands out from other ROS vehicles due to its Ackermann chassis structure. The Ackermann structure is a standard design in modern automobiles, and the omnidirectional Mecanum wheels are the fundamental choice for versatile mobility.
- High-Performance Hardware ConfigurationThe rosmaster r2 is constructed with aluminum alloy and incorporates various high-performance hardware components, including 520 Hall-Effect Encoder Gear Motors, omnidirectional Mecanum wheels, LiDAR, 3D depth camera, intelligent serial bus servos, multifunctional expansion board, motor drivers, and a 12V 6000mAh lithium battery.
- SLAM Development and Versatile ConfigurationsThe rosmaster r2 employs a wide range of advanced algorithms, including gmapping, hector, karto, and cartographer, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance. Utilizing 3D vision, it can capture point cloud images of the environment for RTAB 3D mapping and navigation.
- AI-Driven Intelligent ROS RobotThe rosmaster r2 is a professional robot platform designed for ROS learning and development, supporting the Robot Operating System (ROS). It utilizes mainstream deep learning frameworks in combination with MediaPipe development, supporting YOLO model training and utilizing TensorRT for acceleration.
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Brand: Yahboom | Manufacturer: Yahboom
Dimensions: 2.00 x 2.00 x 2.00 Inches
See On Amazon
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