Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot-Reference-Cited by-同舟云学术

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Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot

Published:2020-10-24 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Schilling Malte¹,Konen Kai¹,Ohl Frank W.²,Korthals Timo³

Affiliation:

1. Bielefeld University,Neuroinformatics Group,Bielefeld,Germany,33501

2. Otto-von-Guericke University,Leibniz Institute for Neurobiology and with the Institute of Biology,Department of Systems Physiology of Learning,Magdeburg,Germany

3. Bielefeld University,Kognitronik and Sensorik Group,Bielefeld,Germany,33501

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09341754.pdf?arnumber=9341754

Cited by 20 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. Neural dynamics of robust legged robots;Frontiers in Robotics and AI;2024-04-18

2. Learning the sound inventory of a complex vocal skill via an intrinsic reward;Science Advances;2024-03-29

3. Design and Experiments of a Hexapod Robot for Inspection of Wind Turbine Blades;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04

4. DeepCPG Policies for Robot Locomotion;IEEE Transactions on Cognitive and Developmental Systems;2023-12

5. Self‐Organized Stick Insect‐Like Locomotion under Decentralized Adaptive Neural Control: From Biological Investigation to Robot Simulation;Advanced Theory and Simulations;2023-06-23

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