Bimanual robotic manipulation

 

 

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language-conditioned imitation learning for robot manipulation tasks
shared-control-based bimanual robot manipulation
6-dof contrastive grasp proposal networkgrasp proposal networks: an end-to-end solution for visual learning of robotic grasps

 

 

In this work, we enabled robots to more effectively perform bimanual tasks by introducing a bimanual shared-control method. The control method moves the robot's PDF | We propose a new benchmarking protocol to evaluate algorithms for bimanual robotic manipulation semi-deformable objects. The benchmark is inspired. This book tackles all the stages and mechanisms involved in the learning of manipulation tasks by bimanual robots in unstructured settings, as it can be the A deep imitation learning framework for robotic bimanual manipulation in a continuous state-action space with a deep, hierarchical, modular architecture Bimanual Manipulation: Learning, Planning and Control How to transfer human bimanual manipulation skills to robots?

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