Enhancement of Control Performance for Degraded Robot Manipulators Using Digital Twin and Proximal Policy Optimization-Reference-Cited by-同舟云学术

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Enhancement of Control Performance for Degraded Robot Manipulators Using Digital Twin and Proximal Policy Optimization

Published:2024 Issue: Volume:12 Page:19569-19583
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Park Su-Young¹^ORCID,Lee Cheonghwa²^ORCID,Kim Hyungjung³^ORCID,Ahn Sung-Hoon¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Seoul National University, Seoul, Republic of Korea

2. Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea

3. Department of Industrial Engineering, Konkuk University, Seoul, Republic of Korea

Funder

National Research Foundation of Korea (NRF) Grants

Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10415386.pdf?arnumber=10415386

Reference36 articles.

1. Trends and challenges in robot manipulation

2. Moving Object Prediction and Grasping System of Robot Manipulator

3. A Motion Planning Method for Visual Servoing Using Deep Reinforcement Learning in Autonomous Robotic Assembly

4. Neural Network Enhanced Robot Tool Identification and Calibration for Bilateral Teleoperation

5. Interface Development for Digital Twin of an Electric Motor Based on Empirical Performance Model

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1. Position and attitude digital twin model of hydraulic supports in fully mechanized workface;Journal of Mechanical Science and Technology;2024-05-25

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