The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 2P1-C06
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Standalone Robot Control System Using Hierarchical Deep Reinforcement Learning
*Yuuki FUJISAKIHiroyuki KOBAYASHI
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Abstract

Many robot control systems that require complex processing rely on external computing resources such as ROS. We believe that the usability of such a configuration is limited because the communication delay affects the control. Therefore, this paper standalone robot control system using hierarchical deep reinforcement learning.

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© 2022 The Japan Society of Mechanical Engineers
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