Open-source control module hardware and software for ROS-based robotics, designed for embedded systems.
OpenCR is an open-source control module designed for the Robot Operating System (ROS). It provides both hardware and software that allow developers to run ROS on embedded systems, acting as the central controller for robots. It solves the problem of integrating ROS with low-level hardware by offering a dedicated, compatible board that simplifies robot development.
Robotics developers, researchers, and educators working with ROS who need an embedded control solution for building autonomous robots, particularly those using platforms like TurtleBot3 or Dynamixel servos.
Developers choose OpenCR because it offers a fully open-source, ROS-native embedded control platform with strong community support and seamless integration with popular robotics hardware like Dynamixel servos and the TurtleBot3.
Software for ROS Embedded board (a.k.a. OpenCR). OpenCR means Open-source Control Module for ROS.
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Features an ARM Cortex-M7 processor specifically designed for embedded ROS, enabling seamless integration with robot operating systems as highlighted in the key features.
Supports programming via Arduino IDE with dedicated libraries and tools in the arduino folder, lowering the barrier for developers familiar with Arduino.
Integrated support for ROBOTIS Dynamixel servos simplifies control of high-performance robotic actuators, a core feature for robotics joints.
Full hardware schematics and software are open-source, allowing for customization and community-driven improvements, as evidenced by the OpenCR-Hardware repository.
Heavily integrated with ROBOTIS products like TurtleBot3 and Dynamixel, which may restrict flexibility and increase costs for projects using other hardware brands.
Documentation is scattered across multiple e-Manuals and video playlists linked in the README, making it challenging for newcomers to find consolidated, up-to-date information.
The ARM Cortex-M7, while capable, may not efficiently handle compute-intensive ROS applications such as real-time SLAM or AI inference compared to more powerful boards.