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2407.01050
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Evolutionary Morphology Towards Overconstrained Locomotion via Large-Scale, Multi-Terrain Deep Reinforcement Learning
1 July 2024
Yenan Chen
Chuye Zhang
Pengxi Gu
Jianuo Qiu
Jiayi Yin
Nuofan Qiu
Guojing Huang
Bangchao Huang
Zishang Zhang
Hui Deng
Wei Zhang
Fang Wan
Chaoyang Song
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Papers citing
"Evolutionary Morphology Towards Overconstrained Locomotion via Large-Scale, Multi-Terrain Deep Reinforcement Learning"
5 / 5 papers shown
Title
Learning robust perceptive locomotion for quadrupedal robots in the wild
Takahiro Miki
Joonho Lee
Jemin Hwangbo
Lorenz Wellhausen
V. Koltun
Marco Hutter
135
713
0
20 Jan 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
Nikita Rudin
David Hoeller
Philipp Reist
Marco Hutter
255
582
0
24 Sep 2021
Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning
Wentao Zhu
Wenqi Li
H. Roth
Ayonga Hereid
53
37
0
03 Oct 2019
Stanford Doggo: An Open-Source, Quasi-Direct-Drive Quadruped
Nathan Kau
Aaron Schultz
N. Ferrante
Patrick Slade
34
113
0
10 May 2019
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Jie Tan
Tingnan Zhang
Erwin Coumans
Atil Iscen
Yunfei Bai
Danijar Hafner
Steven Bohez
Vincent Vanhoucke
94
808
0
27 Apr 2018
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