- Transbot SE ROS Robot, HD Camera for Raspberry Pi (w/o Board)
- Raspberry Pi version without the Raspberry Pi Board
- Operating on the ROS Operating System
- Programmed in Python
- Compatible with Jetson Nano B01/SUB and Raspberry Pi 4B
The Transbot SE ROS Robot, Python Programming, HD Camera for Raspberry Pi (w/o Board) is a tracked robot car that has been developed based on the Robot Operating System (ROS). The entire body of the robot is made of aluminum alloy, providing durability and strength. It is equipped with a 3-DOF robotic arm and a 2-DOF camera PTZ, as well as 520 encoder motors and a large-capacity battery. This robot is compatible with both the Jetson Nano B01 and Raspberry Pi 4B.
The Transbot SE comes with built-in OpenCV image processing algorithms, MediaPipe machine learning capabilities, AI deep learning frameworks, and the movelt simulation platform. With these features, the Transbot SE can perform a variety of functions, including robot motion control, gesture recognition, object recognition, tracking, automatic driving, and robotic arm simulation control.
The crawler structure of the Transbot SE is made entirely of all-aluminum alloy, providing a sturdy and reliable foundation. It also comes with HQ crawler and high-power motors, ensuring smooth and efficient movement.
The Transbot SE is equipped with a 2-DOF 2MP camera, which can be controlled using either the accompanying app or a remote control handle. This camera allows for real-time transmission of video, providing a clear and detailed view of the robot's surroundings.
One of the standout features of the Transbot SE is its 3-DOF robotic arm. This arm not only allows for gripping and handling functions, but it also supports MoveIt simulation. This means that users can simulate and plan the movements of the robotic arm before executing them in real life.
The Transbot SE utilizes OpenCV image processing and the MediaPipe framework to achieve a range of functions related to AI visual recognition. These functions include tasks such as object detection, tracking, and gesture recognition. With these capabilities, the Transbot SE can effectively interact with its environment and perform complex tasks.
