Learning with Muscles: Benefits for Data-Efficiency and Robustness in
Anthropomorphic Tasks

v1v2 (latest)

Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks

8 July 2022

Isabell Wochner

Pierre Schumacher

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Papers citing "Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks"

7 / 7 papers shown

Title
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems Pierre Schumacher Daniel Haeufle Le Chen Syn Schmitt Georg Martius 49 32 0 30 May 2022
MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control Vittorio Caggiano Huawei Wang G. Durandau Massimo Sartori Vikash Kumar 71 98 0 26 May 2022
Variable impedance control and learning -- A review Fares J. Abu-Dakka Matteo Saveriano AI4CE 76 152 0 13 Oct 2020
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots Le Chen Roberto Calandra Jan Peters 50 19 0 07 Apr 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 38 41 0 07 Feb 2019
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments L. Kidzinski Sharada Mohanty Carmichael F. Ong Zhewei Huang Shuchang Zhou ... Sean F. Carroll Jennifer Hicks Sergey Levine M. Salathé Scott L. Delp 86 87 0 02 Apr 2018
Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? Xue Bin Peng M. van de Panne 72 182 0 03 Nov 2016

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