A Hierarchical Framework for Quadruped Locomotion Based on Reinforcement Learning-Reference-Cited by-同舟云学术

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A Hierarchical Framework for Quadruped Locomotion Based on Reinforcement Learning

Published:2021-09-27 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Tan Wenhao,Fang Xing,Zhang Wei,Song Ran,Chen Teng,Zheng Yu,Li Yibin

Funder

Research and Development

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9635848/9635849/09636757.pdf?arnumber=9636757

Cited by 12 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. A Path Planning Method for Quadruped Robot Based on 3D Elevation Diagram;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07

2. Optimal Time Control of Quadruped Robot Diagonal Gait Based on Half-Robot Model;2023 6th International Conference on Robotics, Control and Automation Engineering (RCAE);2023-11-03

3. A Hierarchical Framework for Quadruped Robots Gait Planning Based on DDPG;Biomimetics;2023-08-22

4. Integrated attitude and landing control for quadruped robots in asteroid landing mission scenarios using reinforcement learning;Acta Astronautica;2023-03

5. A Hierarchical Framework for Quadruped Omnidirectional Locomotion Based on Reinforcement Learning;IEEE Transactions on Automation Science and Engineering;2023

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