Photo credits: Yahboom
Transbot Educational Robot with Raspberry Pi 4B 8GB Lidar 3D Camera 7" Screen and 3 DOF Yahboom Robotic Arm Jetson Nano Option
Find more information about the product below.
Transbot is an educational crawler robot developed based on ROS (Robot Operating System). It uses Python 3 as the programming language. And comes with high-performance hardware configurations such as Raspberry Pi 4B board, lidar, high-definition camera/depth camera, etc.,
Design and service
The chassis has been assembled before shipping. The TF card comes with system files dedicated to Transbot. You simply need to assemble the Raspberry Pi, camera, and other parts, and you can start using it quickly.
Professional technical support and after-sales service.
The stable hardware configuration performs interesting functions
- Lidar-based: obstacle avoidance, tracking, 2D map navigation, multi-robot navigation, etc.
- Based on depth camera: 3D mapping, point cloud image processing, KCF target visual tracking, etc.
- Based on HD camera: high brightness projector, 2 DOF PTZ flexible rotation.
ROS operating system
Based on the ROS robot operating system, we intelligently use Rviz, Movelt and Qt toolboxes to realize the joint control of Movelt simulation of robot arm and real machine.
Cross-platform interconnection control
It supports a variety of different control methods, including AI-enabled APP, FPV reality visual handle remote control, JupyterLab online programming, and robot operating system control.
What is Transbot?
Transbot is an intelligent crawler robot based on the ROS robot operating system. It is equipped with high-performance hardware configurations such as Raspberry Pi 4B, Lidar, HD camera/depth camera, etc., which can realize robot motion control, remote communication, map navigation, obstacle avoidance, autonomous driving, Movelt robot simulation and other applications. Many ROS courses and teaching videos will be provided, which will help you easily get started with ROS.
Based on the Raspberry Pi 4B board
Al computing power and helps users extend more complex functions.
Description of options
Navigation technology
- Support 3D map navigation technology containing pure vision and visual radar fusion. Transbot robot can navigate and avoid obstacles on the 3D map.
- Support gmapping, hector, karto, cartographer and other algorithms to create maps. Support path planning, single-point and multi-point autonomous navigation.
Autopilot Visual Tracking
Support custom color selection, the robot can automatically recognize the color and move forward.
AR Tag Recognition
Support 2D code label dynamic tracking detection, 2D code posture position coordinate acquisition, support multiple 2D code recognition at the same time.
Augmented Reality Augmentation
Select the corresponding graphics through the APP and let the graphics appear on the suede paper through AR enhancement technology.
