Viewpoint Selection for the Efficient Teleoperation of a Robot Arm Using Reinforcement Learning

Viewpoint Selection for the Efficient Teleoperation of a Robot Arm Using Reinforcement Learning

In this study, we developed a novel method to determine the optimal viewpoint from which an operator could realize faster and more accurate robot teleoperation using reinforcement learning. The reinforcement learning model was trained using images obtained from several candidate viewpoints from scra...

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Bibliographic Details
Main Authors: Haoxiang Liu, Ren Komatsu, Shinsuke Nakashima, Hiroyuki Hamada, Nobuto Matsuhira, Hajime Asama, Atsushi Yamashita
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep reinforcement learning
human interface
robot manipulation
teleoperation
viewpoint selection
Online Access:https://ieeexplore.ieee.org/document/10296844/

Internet

https://ieeexplore.ieee.org/document/10296844/

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