Jetson Nano ROS2 Robot Lidar Mapping Navigation 7in Touch Screen,Ackerman Smart Car Chassis Python Programming AI Visual Recognition for Adults Learning Education Kit(with Jetson Nano 4GB)
Jetson Nano ROS2 Robot Lidar Mapping Navigation 7in Touch Screen,Ackerman Smart Car Chassis Python Programming AI Visual Recognition for Adults Learning Education Kit(with Jetson Nano 4GB)
XiaoR GEEK is a Jetson Nano educational robot developed based on the ROS1 ROS2 robot operating system. It uses Jetson Nano to lead ROS algorithm and visual processing, and STM32 is responsible for motion control and sensor data processing. The intelligent division of labor between the two achieves both performance and efficiency improvements.
Equipped with lidar, depth camera and 7-inch touch display, it can realize mapping navigation, path planning, AI visual recognition and other functions.
XR Hunter provides a variety of chassis to choose from, including Mecanum wheels, Ackermann steering, crawlers, four-wheel differentials four structures of sports interfaces. Each chassis has its own unique sports characteristics, providing a wide range of adaptability and flexibility. Please select the correct version you require.
XiaoR GEEK also provides a complete set of ROS courses, covering technical information, functional source code, documents and explanation videos to help users quickly master the development and application of ROS robots.
2DOF PTZ
It can look around and look up in up, down, left and right directions, thereby expanding the robot's viewing angle rotation range.
Support ROS2
ROS2 aims to become the preferred operating system widely used in all types of robots.
Programmable cool car lights
Colored light bars are installed on the front and rear of the car's chassis, and the lights can be controlled through the control program.
- Lidar mapping and navigation: SLAM algorithm mapping such as Gmapping, Karto, and Hector can be developed, and it supports path planning, fixed-point navigation, and multi-point navigation.
- RTAB-VSLAM three-dimensional visual mapping navigation: Use RTAB SLAM algorithm to integrate visual and radar data to build a three-dimensional color map. The robot can autonomously navigate and avoid obstacles in the map, and supports global relocation and autonomous positioning functions.
- MediaPipe development, machine vision processing: Using the MediaPpe development framework, functions such as face detection, edge detection, augmented reality, and color recognition can be realized.
- Supports mainstream AI deep learning and supports KNN algorithm, Tensorflow, Pytorch, yolo and TensorRTGPU acceleration.
This ver adopts Ackerman chassis structure design, which uses the structural advantages to reduce power consumption while making the car steering smoother and faster. In order to optimize the stability of the 4wheel contact with the ground, the rear wheels of the chassis are equipped with a pendulum suspension system, it can adapt to uneven road surfaces.
XR Hunter is equipped with the "ROS human-computer interaction system" independently developed by XiaoR GEEK, which can provide real-time feedback on the robot's operating status and program on the 7-inch display screen, such as mapping, navigation and map saving, etc., further enhancing the robot's User interaction capabilities and usability.
Product parameters
- ROS2 Robot Learning Kit: XR Hunter is a robot car developed based on ROS educational programming and adapted to the ROS2 system. It includes Jetson Nano, lidar, 2DOF 3D depth camera, foldable 7in touch screen, cool programmable lights, high-torque coding reduction motor and other hardware. It can realize the development and application of ROS SLAM mapping navigation, path planning, AI visual recognition and other aspects.
- Ackermann Steering Structure: XR Hunter offers a variety of chassis to choose from, please pay attention to the ver you choose. This ver adopts Ackerman chassis structure design, which uses the structural advantages to reduce power consumption while making the car steering smoother and faster. In order to optimize the stability of the 4wheel contact with the ground, the rear wheels of the chassis are equipped with a pendulum suspension system, it can adapt to uneven road surfaces.
- SLAM development & AI vision: Smart ROS car is equipped with a powerful combination of 3D depth camera and lidar, which can realize map navigation, path planning and dynamic obstacle avoidance. Using 3D vision, you can capture point cloud images of the environment and implement RTAB 3D mapping navigation. Using the Mediapipe development framework, AI functions such as face, edge detection, AR augmented reality, and color recognition can be realized.
- Cross-platform robot control: The robot supports various remote control methods such as Android mobile applications, wireless handles, and PC virtual machine RVIZ, allowing you to control the robot as you wish. The 7-in display screen with the "XR-ROS human-computer interaction system", allows users to monitor the status of the robot and various information in real time.
- Tutorials and professional after-sales services: XiaoR GEEK provides detailed paper, electronic files and source code auxiliary tutorials as well as professional, reliable and timely pre-sales and after-sales services. The robot supports secondary development, and it is recommended that users have basic or more knowledge about robots before proceeding. If you have any questions or issues about the product or program learning, please feel to contact us.