Name: Elephant Robotics myCobot 320 Pi 2022 - 1kg Payload 6 DOF Collaborative Raspberry Pi Robotic Arm (with Flat Base)
Brand: Elephant Robotics
Price: 2499.00 USD
Availability: InStock

Specifications (automatically extracted)

Mechanical

Weight

13.5 kg

Description

USER-ORIENTED 6-AXIS COBOT Open ROS simulation development environment, built-in kinematics forward and inverse solution algorithm. The whole series has been sold to 60+ countries around the world with more than 5,000 units shipped. Start your intelligent manufacturing robot learning journey anytime, anywhere! Convenient development with built-in system Raspberry PI version robotic arms are a joint product developed by Elephant Robotics and Raspberry PI. Adopting the Raspberry PI 4B as its core processor, and reserving the original hardware interface of Raspberry PI 4B, the robotic arm meets the application needs of the Linux system with the one-in-all structure for portable robot development. Featuring built-in Ubuntu 20.04. the system and development environments like Python, ROS, and myBlockly can be developed after connecting with the displayer without matching with the PC. DIY your personal mechanical assistant Equipped with up to 12 standard 24V industrial I/O interfaces, it can be expanded to develop PLC control independent programming, support mainstream control interfaces, and a wealth of terminal expansion accessories to help explore the boundaries of personal applications. Creative Visual Development myCobot 320 PI is a free-to-match visual development application, intuitive structural analysis of mechanical motion principles, and enterprise-level communication protocol specifications and applications. OPEN-SOURCE INTERFACES Based on different kinds of applications, open-source to its interfaces and enables to achieve objects recognition, facial recognition, image recognition etc. SECONDARY DEVELOPMENTS Easily learn to program myCobot in your style and ready to start your robotics journey. ROS SUPPORTING Developing in ROS - the world's mainstream robot communication framework, you can control myPalletizer and conduct algorithm verificationin under a virtual environment, which reduces the requirements for the experimental environment and improves the exper