Published October 25, 2024
| Version v1
Conference paper
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DLO Dynamic Manipulation and Vibration Suppression through Reinforcement Learning
Description
The dynamic robotic manipulation of deformable linear
objects (DLOs) such as cables is currently a challenge. In
this work, we propose a reinforcement learning framework
called DynDLO, aimed at learning policies to dynamically
manipulate the DLO and suppress the vibration caused by
high-speed movements. The trained policies are then
deployed on a robot to successfully execute the task in the
real world.