Learning-Based Propulsion Control for Amphibious Quadruped Robots With Dynamic Adaptation to Changing Environment-Reference-Cited by-同舟云学术

Learning-Based Propulsion Control for Amphibious Quadruped Robots With Dynamic Adaptation to Changing Environment

Published:2023-12 Issue:12 Volume:8 Page:7889-7896
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Yao Qingfeng¹^ORCID,Meng Linghan¹^ORCID,Zhang Qifeng¹^ORCID,Zhao Jing¹^ORCID,Pajarinen Joni²^ORCID,Wang Xiaohui³^ORCID,Li Zhibin⁴^ORCID,Wang Cong¹^ORCID

Affiliation:

1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

2. Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland

3. Heriot-Watt University, Edinburgh, U.K.

4. University College London, London, U.K.

Funder

Applied Basic Research Program of Liaoning Province

National Key Research and Development Program of China

National Natural Science Foundation of China

Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China

China Scholarship Council

JIANG Xinsong Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10287676/10278475.pdf?arnumber=10278475

Reference39 articles.

1. RLOC: Terrain-Aware Legged Locomotion Using Reinforcement Learning and Optimal Control

2. Learning quadrupedal locomotion over challenging terrain

3. Reinforcement Learning and Markov Decision Processes

4. Development of arm and leg for seabed walking robot CRABSTER200

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Innovative active disturbance motion control for an underwater adsorption wall-climbing robot with uncertainties and compensations;Ocean Engineering;2024-11