2 papers
cs.RO2023
Robotic Control of the Deformation of Soft Linear Objects Using Deep Reinforcement Learning
Mélodie Hani Daniel Zakaria, Miguel Aranda, Laurent Lequièvre +3
This paper proposes a new control framework for manipulating soft objects. A Deep Reinforcement Learning (DRL) approach is used to make the shape of a deformable object reach a set…
cs.RO2023
Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects
Mélodie Daniel, Aly Magassouba, Miguel Aranda +4
Robotic manipulation of deformable linear objects (DLOs) has great potential for applications in diverse fields such as agriculture or industry. However, a major challenge lies in…