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StarBrain
ROS Autonomous Driving Robot Experimental Development System
Operation Type - Intelligent Connected Vehicle Teaching Equipment

ROS Autonomous Driving Robot Experimental Development System

This equipment adopts a ROS autonomous driving robot platform based on the Ackermann steering structure, integrating the Autoware autonomous driving system and the ROS robot development environment. B

RATING PLATEROS Autonomous Driving Robot Experimenta
Dimensions
445 × 358 × 443 mm
Load Capacity
Maximum 10 kg
Maximum Speed
1.3 m/s
Overview

Product Overview

This equipment adopts a ROS autonomous driving robot platform based on the Ackermann steering structure, integrating the Autoware autonomous driving system and the ROS robot development environment. Based on the mobile robot training base, it combines high-precision sensors and computing control units to build a standardized teaching platform. The equipment is equipped with a 9-axis IMU, high-precision 16-line TOF LiDAR, and a stereo depth camera, enabling environmental perception and real-time scene construction capabilities. It can be used for teaching and research training tasks such as autonomous driving robot environmental perception, path planning verification, control algorithm development, and system integration, suitable for vocational colleges, applied undergraduate programs, and intelligent connected vehicle and robotics technology laboratories to conduct related courses and research practices.

445 × 358 × 443 mm
Dimensions
Maximum 10 kg
Load Capacity
1.3 m/s
Maximum Speed
125 mm solid rubber wheel
Drive Wheel Diameter
Key Features

Core Advantages

Real Components and System Display

Adopts an Ackermann steering chassis structure, integrating an MD36 brushed DC drive motor, S20F high-torque digital servo, 500-line AB-phase GMR encoder, and Orin NX ROS main control computing unit to build a complete mobile robot execution and control system.

System Structure and Installation Position Cognition

Displays the installation layout and functional relationships of LiDAR, stereo depth camera, 9-axis IMU, drive motor, and steering servo in the mobile robot chassis, used to understand the structure of the robot's perception and motion control system.

Data Acquisition and Visualization

Based on ROS and Autoware systems, it achieves multi-source sensor data acquisition and processing, enabling real-time processing and scene construction of LiDAR point clouds, stereo depth vision information, and IMU attitude data.

Perception Function Testing

Utilizes a 16-line TOF LiDAR and stereo depth camera to achieve environmental obstacle perception, spatial structure recognition, and target detection verification, used for testing the robot's environmental perception capabilities.

Multi-Sensor Fusion

Fuses data from LiDAR, stereo depth camera, and 9-axis IMU to achieve environmental modeling and state estimation, supporting robot localization and scene reconstruction training.

Algorithm Verification and Secondary Development

Provides a development environment based on ROS and the Autoware autonomous driving system, supporting the verification and secondary development training of path planning, environmental perception, and control algorithms.

Drive-by-Wire Chassis Control

Through the STM32 WheelBoard C30D control board and CAN, serial communication methods, it achieves control and feedback collection of the drive motor, steering servo, and motion state, supporting APP and PS2 wireless control methods.

Training
Training & Applications

Teaching Content & Training Projects

Hands-on training covering the following topics:

  • LiDAR structure cognition
  • Vision sensor structure cognition
  • Inertial Measurement Unit structure cognition
  • LiDAR installation and calibration
  • Vision sensor installation and debugging
  • IMU installation and configuration
  • Point cloud data acquisition and analysis
  • Image data acquisition and target recognition
  • Position and posture data analysis
  • Path planning algorithm testing
  • Obstacle avoidance strategy verification
  • SLAM mapping and simulation verification
Specifications

Technical Specifications

ParameterValue
Dimensions445 × 358 × 443 mm
Load CapacityMaximum 10 kg
Maximum Speed1.3 m/s
Drive Wheel Diameter125 mm solid rubber wheel
Main Control BoardWheelBoard C30D (STM32)
ROS Main Control Computing PlatformOrin NX
Drive MotorMD36 DC Brushed Motor
Steering ServoS20F 20kg High Torque Digital Servo
Encoder500-line AB Phase GMR High-Precision Encoder
LiDARHigh-Precision 16-Line TOF LiDAR
Vision SensorGemini Pro Stereo Depth Camera
Inertial Measurement Unit9-Axis IMU Sensor
Standard Accessories

What's Included

  • 16-Line TOF LiDAR
  • Gemini Pro Stereo Depth Camera
  • 9-Axis IMU Inertial Measurement Unit
  • MD36 Drive Motor
  • S20F Steering Servo
  • WheelBoard C30D STM32 Control Board
  • Orin NX ROS Main Control Computing Platform
  • CAN Communication Module
  • Serial Communication Module
  • ROS Robot Operating System Development Environment
  • Autoware Autonomous Driving System
  • Ackermann-Structure Mobile Robot Chassis
  • Drive Wheel and Support Structure

Product Category

Automotive teaching equipment — suitable for vocational colleges, technical schools, and automotive training institutions.

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