TRANSBOT-SE is a ROS-based tracked robot car featuring an all-aluminum chassis, a 3-DOF robotic arm, a 2-DOF PTZ camera, 520 encoder motors, and a high-capacity battery, with compatibility for Jetson Nano B01 and Raspberry Pi 5. It integrates OpenCV for image processing, MediaPipe for machine learning, an AI deep learning framework, and MoveIt for motion planning and simulation, delivering capabilities in robot motion control, gesture and object recognition, tracking, autonomous driving, and robotic-arm simulation control—designed for robust performance, easy integration, and SEO-friendly visibility in robotic automation and AI vision applications.
Features
- Crawler structure: Full aluminum alloy chassis with an HQ crawler system and a high-power motor, offering rugged durability and strong payload capability.
- Imaging and video transmission: A 2DOF, 2MP camera connected via an app or remote control handle, enabling real-time video transmission with low latency.
- Robotic arm: A 3DOF robotic arm capable of gripping and handling tasks, with MoveIt simulation support for motion planning and validation.
- Operating system and development: Built on ROS, with core programming in Python; compatible with Jetson Nano B01 and Raspberry Pi 5 for edge computing.
- Vision and AI: Uses OpenCV for image processing and the MediaPipe framework to realize a range of AI-based visual recognition functions.