Research on Dynamic Modeling Method and Flying Gait Characteristics of Quadruped Robots with Flexible Spines
Author:
Affiliation:
1. School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
2. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Abstract
Funder
STI 2030
Publisher
MDPI AG
Link
https://www.mdpi.com/2313-7673/9/3/132/pdf
Reference26 articles.
1. Learning agile and dynamic motor skills for legged robots;Hwangbo;Sci. Robot.,2019
2. Katz, B., Di Carlo, J., and Kim, S. (2019, January 20–24). Mini Cheetah: A Platform for Pushing the Limits of Dynamic Quadruped Control. Proceedings of the 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada.
3. Learning quadrupedal locomotion over challenging terrain;Lee;Sci. Robot.,2020
4. Learning robust perceptive locomotion for quadrupedal robots in the wild;Miki;Sci. Robot.,2022
5. Rudin, N., Hoeller, D., Reist, P., and Hutter, M. (2021, January 8–11). Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning. Proceedings of the 5th Conference on Robot Learning, London, UK.
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