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Standardized ROS2 controllers for deploying learning-based manipulation policies with compliant (impedance/admittance) behavior, bridging high-level inference and low-level hardware control.
stars
183
forks
31
Developed by the UTIAS Dynamic Systems Lab, this project addresses the specific 'last mile' problem of deploying neural network policies on physical robot hardware using ROS2. While compliant control is a known field, the standardized integration for learning-based policies and high traction (183 stars) in the robotics research community makes it a significant infrastructure component.
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