Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning
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Updated
Oct 11, 2022 - Python
Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning
Cartesian Impedence Control for KUKA LWR
ROS 2 library for KUKA LWR4 FRI interface
ROS 2 package containing URDF model of KUKA LWR 4+ manipulator.
A Trajectory Generator in Cartesian Impedance Mode based on Stanford FRI library.
lwr_acquisition is a lightweight Python library for real-time data acquisition from the KUKA LWR 4+. It provides an easy-to-use API to stream robot data, visualize it live, or save it to files for offline analysis. Designed for research and robotics applications, the library is efficient and easy to integrate.
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