A CPG-Based Agile and Versatile Locomotion Framework Using Proximal
Symmetry Loss

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A CPG-Based Agile and Versatile Locomotion Framework Using Proximal Symmetry Loss

1 March 2021

Mohammadreza Kasaei

Luis Paulo Reis

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Papers citing "A CPG-Based Agile and Versatile Locomotion Framework Using Proximal Symmetry Loss"

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Title
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion Nico Bohlinger Grzegorz Czechmanowski Maciej Krupka Piotr Kicki Krzysztof Walas Jan Peters Davide Tateo 109 21 0 10 Sep 2024
Leveraging Symmetry in RL-based Legged Locomotion Control Zhi Su Xiaoyu Huang Daniel Felipe Ordoñez Apraez Yunfei Li Zhongyu Li ... Giulio Turrisi Massimiliano Pontil Claudio Semini Yi Wu Koushil Sreenath 119 16 0 26 Mar 2024
Designing a skilled soccer team for RoboCup: exploring skill-set-primitives through reinforcement learning Miguel Abreu Luis Paulo Reis Nuno Lau 141 5 0 22 Dec 2023
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension Miguel Abreu Luis Paulo Reis Nuno Lau 122 6 0 06 Sep 2023
CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion Guillaume Bellegarda A. Ijspeert 98 83 0 01 Nov 2022