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JetCobot 7 DOF Collaborative Robotic Arm Adopt Python Programming ROS System Color Tracking Model Training Gesture Control
- Delivered today (order Mon-Fri before 12:00, delivery between 17:00 and 22:00)
- Including shipping costs, sent by Rare Good Store
- Pick up at a Rare Good Store collection point is possible
- 30 days to change your mind and free returns
- Day and night customer service
Description
- Hign-concerned Chemical: None
- Is Electric: AAA Battery
- Brand Name: YAHBOOM
- Recommend Age: 14+y
- Origin: Mainland China
- Main control board_1: Jetson NANO 4GB SUB
- Main control board_2: Jetson ORIN NANO 4GB/8GB SUPER
- Main control board_3: Jetson ORIN NX 8GB/16GB SUPER
- Freedom: 6DOF + Gripper
- Joint rotation range: -153°~153°
- Maximum arm span: 270MM
- USB camera: 0.3MP
JetCobot 7 DOF Collaborative Robotic Arm Adopt Python Programming ROS System Color Tracking Model Training Gesture Control
JetCobot is a 7-axis visual collaborative robotic arm. It uses the NVIDIA series development board as the main control board. It adopts a configuration similar to the UR robot, flexible movement, and maximum effective arm span of 270MM. Through the ROS robot operating system and inverse kinematics algorithm, the robotic arm coordinate control, motion planning, gripping and sorting functions are realized. It equipped it with a 0.3MP USB camera, combined with OpenCV images, machine vision, deep learning and other algorithms, can complete color interaction, face tracking, label recognition, model training, gesture interaction and other functions. In addition to supporting MoveIt simulation control, JetCobot also supports APP, handle, PC web control.
High-precision control and flexible movement
JetCobot adopts a 7-axis design, has a configuration similar to the UR robot, and with the inverse kinematics algorithm, it ensures flexible and precise motion control. The maximum effective arm span is 270MM, the joint rotation range is -153°~153°, and it can handle a variety of complex operation tasks.
Camera and robotic arm 2 in 1
Equipped with a 0.3MP USB camera with a 110° field of view. Combining OpenCV image processing, machine vision and deep learning algorithms, JetCobot can realize functions such as color interaction, face tracking, tag recognition, model training and gesture interaction.
Based on NVIDIA series development boards
With NVIDIA series development boards as the main control, JetCobot has powerful computing power and AI processing capabilities, which can efficiently process complex vision and control algorithms to ensure real-time response and efficient execution.
Support multiple control methods
Based on the ROS robot operating system, JetCobot can realize MoveIt simulation control, and also supports APP control, handle control and PC web control to meet the needs of different users.
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