Transbot SE ROS robot, Python programming, HD camera for Raspberry Pi 5 (without board)

Transbot SE ROS robot, suitable for Raspberry Pi 5 high-definition camera (motherboard not included)

Raspberry Pi version without Raspberry Pi motherboard

Operating on ROS operating system

Programming with Python

Compatible with Jetson Nano B01/SUB and Raspberry Pi 5

Transbot SE ROS robot, Python programming, Raspberry Pi high-definition camera (without motherboard) is a tracked robot vehicle developed based on Robot Operating System (ROS). The entire body of the robot is made of aluminum alloy, which is sturdy and durable. It is equipped with a 3-degree-of-freedom robotic arm and a 2-degree-of-freedom camera PTZ, as well as 520 encoder motors and a large capacity battery. This robot is compatible with Jetson Nano B01 and Raspberry Pi 5.

The Transbot SE is equipped with OpenCV image processing algorithm, MediaPipe machine learning function, AI deep learning framework, and movelt simulation platform, which can achieve various functions such as robot motion control, gesture recognition, object recognition, tracking, autonomous driving, and robotic arm simulation control.

The track structure of the Transbot SE is entirely made of all aluminum alloy, providing a sturdy and reliable foundation. It is also equipped with HQ tracks and high-power motors to ensure smooth and efficient movement.

The Transbot SE is equipped with a 2-DOF 2MP camera, which can be controlled using the accompanying application or remote control. This camera can transmit real-time video and display the surrounding environment of the robot clearly and in detail.

One prominent feature of the Transbot SE is its 3-DOF robotic arm. This robotic arm not only has grasping and handling functions, but also supports MoveIt simulation. This means that users can simulate and plan the actions of the robotic arm before actually executing them.

Transbot SE utilizes OpenCV image processing and MediaPipe framework to implement a series of AI visual recognition related functions. These functions include tasks such as object detection, tracking, and gesture recognition. With these features, Transbot SE can effectively interact with its environment and perform complex tasks.