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StarBrain
ROS Educational Robot Experiment Development System
Operation Type - Intelligent Connected Vehicle Teaching Equipment

ROS Educational Robot Experiment Development System

This equipment is a ROS autonomous driving educational robot experiment development system. It is based on the ROS main control platform, LiDAR, RGBD depth camera, motion control board, and mobile rob

RATING PLATEROS Educational Robot Experiment Develop
Dimensions
270×222×187mm
Maximum Load
6kg
Drive Mode
Four-wheel drive, supports differential steering
Overview

Product Overview

This equipment is a ROS autonomous driving educational robot experiment development system. It is based on the ROS main control platform, LiDAR, RGBD depth camera, motion control board, and mobile robot platform, combined with an experimental development platform for educational design. The equipment can be used to demonstrate environmental perception, target recognition, gesture recognition, LiDAR mapping and navigation, visual mapping and navigation, fusion positioning and navigation, and voice interaction, meeting teaching needs such as structural cognition, data collection, function verification, navigation debugging, and system integration. It is suitable for vocational colleges, technical schools, and intelligent connected vehicle training labs to conduct ROS autonomous driving-related course teaching and training.

270×222×187mm
Dimensions
6kg
Maximum Load
Four-wheel drive, supports differential steering
Drive Mode
1.4m/s
Maximum Speed
Key Features

Core Advantages

Real Components and System Demonstration

Using the ROS main control platform, STM32 motion control board, LiDAR, RGBD depth camera, and mobile robot platform, it forms a complete autonomous driving experiment system to demonstrate the structure of intelligent mobile robot perception and control systems.

System Structure and Installation Position Cognition

Displays the installation positions and connection relationships of LiDAR, depth camera, motion control unit, and drive system, helping students understand the functions of each component and the system architecture.

Data Collection and Visualization

Supports the collection and display of LiDAR data, depth image data, target recognition results, map data, and navigation status information, enabling perceptual data visualization teaching.

Installation, Calibration, and Debugging

Supports configuration and debugging of LiDAR and vision sensors, conducting navigation parameter configuration and mapping debugging training.

Perception Function Testing

Supports testing of target recognition, gesture recognition, and sound source localization functions, allowing for experiments in environmental target detection and interactive recognition.

Multi-Sensor Fusion

Supports LiDAR and vision sensor fusion mapping and navigation, demonstrating the process of multi-source perception data fusion.

Algorithm Verification and Secondary Development

Based on ROS and ROS2 development environments, it allows for experiments in mapping navigation, target recognition, and autonomous navigation algorithm verification.

Simulation and Scenario Demonstration

Supports 2D LiDAR mapping navigation, RTAB visual mapping navigation, and fusion navigation scenario demonstrations, verifying the operational effects of different navigation schemes.

Safety Protection and Stable Operation

Uses a mobile robot platform for experimental teaching. The training process should be conducted within a designated test area, with manual takeover and operation management implemented through software control.

Training
Training & Applications

Teaching Content & Training Projects

Hands-on training covering the following topics:

  • Laser Radar Structure Cognition
  • RGBD Depth Camera Structure Cognition
  • Laser Radar Installation and Debugging
  • Vision Sensor Installation and Configuration
  • Laser Radar Data Collection and Analysis
  • Depth Image Data Collection and Analysis
  • Map Data Collection and Analysis
  • Navigation State Data Analysis
  • Target Recognition Testing
  • Gesture Recognition Testing
  • Sound Source Localization Testing
  • Voice Navigation Testing
Specifications

Technical Specifications

ParameterValue
Dimensions270×222×187mm
Maximum Load6kg
Drive ModeFour-wheel drive, supports differential steering
Maximum Speed1.4m/s
Operating SystemFreeRTOS, ROS Melodic, ROS Noetic, ROS2 Galactic, ROS2 Humble
Communication InterfaceCAN bus, Serial Port
Motion Control BoardWheelBoard C30D STM32
ROS Main Control PlatformOrin Nano 4GB
Drive MotorMG513 Metal Gear Reduction Motor
Encoder500-line AB Phase High-Precision GMR Encoder
LiDARHigh-Precision Single-Line TOF LiDAR
Vision SensorAstra RGBD Depth Camera
Standard Accessories

What's Included

  • High-Precision Single-Line TOF LiDAR
  • Astra RGBD Depth Camera
  • MG513 Metal Gear Reduction Motor
  • 500-line AB Phase High-Precision GMR Encoder
  • Orin Nano 4GB Main Control Platform
  • WheelBoard C30D STM32 Motion Control Board
  • CAN Bus Communication Interface
  • Serial Port Communication Interface
  • FreeRTOS System Environment
  • ROS Melodic
  • ROS Noetic
  • ROS2 Galactic
  • ROS2 Humble
  • Four-Wheel Differential Drive Mobile Robot Platform

Product Category

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

Get a Quote for ROS Educational Robot Experiment Development System

Contact StarBrain for technical specifications, custom configurations, and delivery timeline.