Reinforcement Learning of Bipedal Walking with Musculoskeletal Models and Reference Motions
Author:
Publisher
Korea Computer Graphics Society
Subject
General Medicine
Link
http://journal.cg-korea.org/download/download_pdf?doi=10.15701/kcgs.2022.29.1.23
Reference8 articles.
1. Yin, K., Loken, K., And Panne, M. V. D. 2007. SIMBICON: simple biped locomotion control. ACM Trans. Graph. 26, 3. 10.1145/1276377.1276509
2. Geyer H, Herr H. A muscle-reflex model that encodes principles of legged mechanics produces human walking dynamics and muscle activities. IEEE Trans Neural Syst Rehabil Eng. 2010;18(3):263-273. 10.1109/TNSRE.2010.2047592 20378480
3. Xue Bin Peng, Pieter Abbeel, Sergey Levine, and Michiel van de Panne. 2018. Deepmimic:Example-guided Deep Reinforcement Learning of Physics-based Character Skills. ACM Trans. Graph. 37, 4, Article 143 (July 2018), 14 pages. 10.1145/3197517.3201311
4. Jack M. Wang, Samuel R. Hamner, Scott L. Delp, and Vladlen Koltun. 2012. Optimizing Locomotion Controllers Using Biologically-based Actuators and Objectives. ACM Trans. Graph. 31, 4, Article 25 (July 2012), 11 pages. 10.1145/2185520.2185521 26251560 PMC4523558
5. Seunghwan S. Lee, Ri Yu, Jungnam Park, Mridul Aanjaneya, Eftychios Sifakis, and Jehee Lee. 2018. Dexterous Manipulation and Control with Volumetric Muscles. ACM Trans. Graph. 37, 4, Article 57 (July 2018), 13 pages. 10.1145/3197517.3201330
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