One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion

One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion

10 September 2024

Grzegorz Czechmanowski

Krzysztof Walas

Jan Peters

Papers citing "One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion"

8 / 8 papers shown

Title
Multi-agent Embodied AI: Advances and Future Directions Zhaohan Feng Ruiqi Xue Lei Yuan Yang Yu Ning Ding M. Liu Bingzhao Gao Jian-jun Sun Gang Wang AI4CE 42 0 0 08 May 2025
Deep Learning Agents Trained For Avoidance Behave Like Hawks And Doves Aryaman Reddi Glenn Vinnicombe 41 0 0 14 Mar 2025
Unified Locomotion Transformer with Simultaneous Sim-to-Real Transfer for Quadrupeds Dikai Liu Tianwei Zhang Jianxiong Yin Simon See OffRL 50 0 0 13 Mar 2025
Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion Nico Bohlinger Jonathan Kinzel Daniel Palenicek Lukasz Antczak Jan Peters 36 0 0 11 Mar 2025
Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies Zixuan Chen Xialin He Yen-Jen Wang Qiayuan Liao Yanjie Ze ... S. Sastry Jiajun Wu K. Sreenath Saurabh Gupta Xue Bin Peng 43 10 0 15 Oct 2024
Learning and Deploying Robust Locomotion Policies with Minimal Dynamics Randomization Luigi Campanaro Siddhant Gangapurwala W. Merkt Ioannis Havoutis 41 8 0 26 Sep 2022
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots Gilbert Feng Hongbo Zhang Zhongyu Li Xue Bin Peng Bhuvan Basireddy ... Zhitao Song Lizhi Yang Yunhui Liu K. Sreenath Sergey Levine 85 55 0 12 Sep 2022
Adapting Rapid Motor Adaptation for Bipedal Robots Ashish Kumar Zhongyu Li Jun Zeng Deepak Pathak K. Sreenath Jitendra Malik 50 61 0 30 May 2022