JetCobot is a 7‑axis collaborative robotic arm (cobot) with a UR‑style configuration and flexible movement, delivering a maximum effective reach of 270 mm. Powered by an NVIDIA series development board, it runs ROS with inverse kinematics for precise coordinated control, motion planning, gripping, and sorting. A 0.3 MP USB camera with a wide FOV integrates OpenCV image processing, machine vision, and deep learning to enable color interaction, face tracking, tag/label recognition, model training, and gesture interaction. In addition to MoveIt simulation control, JetCobot supports handle control and PC web control, making it an ideal AI vision robot arm for research, education, and light industrial automation. High-precision control and flexible movement JetCobot features a 7-axis design and a configuration akin to the UR robot, utilizing an inverse kinematics algorithm to ensure flexible and precise motion control. With a maximum effective arm span of 270 mm and a joint rotation range of -153° to 153°, it is capable of handling a variety of complex operational tasks. Camera and robotic arm 2 in 1 Equipped with a 0.3 MP USB camera that offers a 110° field of view, JetCobot integrates OpenCV image processing, machine vision, and deep learning algorithms. This allows it to perform functions such as color interaction, face tracking, tag recognition, model training, and gesture interaction. Based on NVIDIA series development boards By employing NVIDIA series development boards as its primary control system, JetCobot harnesses substantial computing power and AI processing capabilities. This enables efficient processing of complex vision and control algorithms, ensuring real-time response and effective execution. Support multiple control methods Utilizing the ROS robot operating system, JetCobot enables MoveIt simulation control and also supports handle control and PC web control, catering to the diverse needs of different users.
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