ROS Educational Robot

Support ROS2/mapping navigation/depth vision/technical support

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Product Introduction

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ROSHunter is our ROS robot car developed for ROS education programming. It is equipped with a series of high-performance hardware, including NVIDIA Jetson Nano, high torque coding deceleration motor, LiDAR, 3D depth camera, 7-inch LCD display screen, cool programmable car lights, and more. These hardware configurations enable ROSHunter to develop and apply various aspects such as robot motion control, ROSSLAM algorithm, mapping navigation path planning, deep learning, and visual interaction.

ROSHunter offers a variety of chassis options to fully adapt to the ROs2 system, which not only better meets users' learning and verification needs for robot SLAM functions, but also provides a fast and convenient integration solution for ROS development. In addition, the accompanying ROS course covers rich technical materials, functional source code, course documentation, and instructional videos, helping users quickly master the development and application of ROS robots.

                 Full support for ROS2                           Map Navigation                   3D real scene mapping                Visual recognition

                     Four Wheel Plate                            Wheat Wheel Plate                   Ackermann chassis                      Crawler chassis

                        Path planning                           Multi-point navigation                      APP control                           Handle control

                        Deep learning                                     PID control                      Multi aircraft formation                Machine learning

                            OpenCV                                 Development Manual                      Video tutorial                        Technical Support

Multiple chassis options to choose from

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When exploring the world of ROS robots, one can choose from four vehicle models based on specific learning objectives and practical application scenarios. Each model is carefully designed to provide the best learning experience and application performance for users with different skill levels.

                          Ackermann                                   Mecanum wheel                        Tracked vehicle                          Differential car

① Ackermann steering chassis with flexible front wheel steering control

Ackermann steering chassis inherits the standard steering architecture of modern cars, with precise steering accuracy achieved through fine angle adjustment of the front wheels for navigation, making it particularly suitable for research with high simulation requirements for vehicle driving dynamics.

In order to optimize the stability of the four-wheel contact with the ground, the rear wheels of the chassis are equipped with a pendulum suspension system, which can adapt to uneven road surfaces and ensure the measurement accuracy of the motor encoder odometer. The all metal CNC precision manufacturing of its steering components provides durability and precision.

② Mecanum wheel chassis moves in all directions

The Mecanum wheel chassis endows the ROS robot with 360 degree omnidirectional mobility, enhancing its flexibility in narrow spaces. As an omnidirectional maneuvering structure, it particularly meets the complex application requirements of multi angle operation.

(1) Straight ahead                     (2) Side movement                      (3) Turn right

③ Tracked chassis

The tracked robot chassis, with its excellent adaptability and stability, can easily handle various complex terrains. Equipped with nylon tracks and high-performance DC motors, it ensures precise control and provides reliable support for transportation and other fields. Its flexible direction and angle adjustment optimize the learning and development experience of robots.

④ Four wheel drive chassis differential drive

The four-wheel chassis is controlled by motor differential steering, providing flexibility and easy operation, suitable for education and beginners. Equipped with 100mm diameter rubber wheels, ensuring small deformation and high mobility, simplifying mechanical structure while maintaining excellent performance.

Full support for ROS2

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ROS2 aims to become the preferred operating system widely used in various types of robots, and currently, it has become the direct choice for almost all robot companies' newly approved projects. The car will be equipped with the ROS2Galactive version, and the adaptation work for the ROS2Humble version is steadily progressing.

ROS (Robot Operating System)

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Global mainstream robot communication framework

ROS (Robot Operating System) is an open-source meta-operating system for robots. It provides services similar to those of an operating system, including hardware abstraction description, low-level driver management, execution of common functions, inter-process message passing, and program distribution package management. Its main goal is to provide support for code reuse in robot research and development

ROS   =   Communication mechanism   +   Development tools   +   Application Functionality   +   Ecosystem

① Lidar mapping and navigation

Can develop SLAM algorithms such as Gmapping, Karto, Hector for mapping, and support path planning, fixed-point, navigation, and multi-point navigation.

② RTAB-VSLAM 3D Visual Mapping and Navigation

Using the RTABSLAM algorithm, a 3D color map is constructed by integrating visual and radar data. The robot can autonomously navigate and avoid obstacles in the map, and supports global repositioning and autonomous positioning functions.

⑤ MediaPipe development, machine vision processing

By using the MediaPpe development framework, functions such as face detection, edge detection, augmented reality, and color recognition can be achieved.

Dual brain architecture collaboration

Performance Upgrade

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JetsonNano leads ROS algorithm and visual processing, while STM32 is responsible for motion control and sensor data processing. Intelligent division of labor between the two, achieving dual improvement in performance and efficiency

Ergonomic design expands horizons

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Thanks to our innovative linkage design, the display screen of the robot car is different from similar products, achieving infinite adjustment ability of screen angle and supporting free folding from 0 to 90 degrees, aiming to provide a tilted visual experience. This design provides flexible angle adjustment, making it easy to find the optimal usage angle that is more ergonomic.

ROS Easy to Use Artificial Intelligence Interaction

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The robot car is equipped with the "XR-ROS human-machine interaction system" independently developed by XiaoR Technology, which enables users to monitor the status and various information of the robot in real time. With this system, users can easily interact and manage without relying on the command line or other complex operating methods.

Operation method

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Product Parameters

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① Depth cameras are standard across the entire range

② Laser radar

③ Standard 7-inch display screen

④ High performance two degree of freedom gimbal

 Ackermann vehicle size diagram 

 Dimensional drawing of four-wheel differential vehicle body 

 Dimensional drawing of tracked vehicle body 

 Dimensional drawing of wheeled vehicle body 

Shipping List

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Robot assembly and debugging completed, finished product shipped

                          Robot machine                               Remote control handle            Charger                 Card reader         Warranty Card

Our services

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Our goal is to continuously improve our own technical capabilities and place greater emphasis on the customer's product experience.