Adaptive Locomotion Control of Hexapod Robot Based on Deep Reinforcement Learning and Proprioception-Reference-Cited by-同舟云学术

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Adaptive Locomotion Control of Hexapod Robot Based on Deep Reinforcement Learning and Proprioception

Published:2023-11-03 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Robotics, Control and Automation Engineering (RCAE)
language:
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Author:

Li Ruiwen¹,Wang Lei²,Chen Yiyang³,Ma Ping⁴

Affiliation:

1. School of Automation, Nanjing University of Information Science and Technology,Wuxi,China,214105

2. School of Automation, Wuxi University,Wuxi,China,214105

3. School of Mechanical and Electrical Engineering, Soochow University,Suzhou,China,215137

4. School of Artificial Intelligence and Computer Science, Jiangnan University,Wuxi,China,214122

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10398736/10398580/10398839.pdf?arnumber=10398839

Reference22 articles.

1. Machine learning based decision making for time varying systems: Parameter estimation and performance optimization

2. Gait optimization of step climbing for a hexapod robot

3. Accurate perception and representation of rough terrain for a hexapod robot by analysing foot locomotion

4. Autonomous Distributed System for Gait Generation for Single-Legged Modular Robots Connected in Various Configurations

5. Insect-Inspired Robots: Bridging Biological and Artificial Systems

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