Improved Performance of CPG Parameter Inference for Path-following Control of Legged Robots-Reference-Cited by-同舟云学术

Improved Performance of CPG Parameter Inference for Path-following Control of Legged Robots

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Kent Nathan D.¹,Neiman David²,Travers Matthew²,Howard Thomas M.¹

Affiliation:

1. University of Rochester,Robotics and Artificial Intelligence Laboratory,Rochester,NY,USA,14627

2. Carnegie Mellon University,Biorobotics Lab,Pittsburgh,PA,USA,15213

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981859.pdf?arnumber=9981859

Reference18 articles.

1. Distributed central pattern generator control for a serpentine robot;conradt;Proceedings of the International Conference on Artificial Neural Networks (ICANN),0

2. Online Optimization of Swimming and Crawling in an Amphibious Snake Robot

3. Gait Generation With Smooth Transition Using CPG-Based Locomotion Control for Hexapod Walking Robot

4. Central pattern generators for locomotion control in animals and robots: A review

5. Efficient grounding of abstract spatial concepts for natural language interaction with robot platforms

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