Indian Journal of Computer Science

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Reinforcement Learning of 3D Musculoskeletal Model for Walking or Running with Minimum Efforts


Affiliations
1 Data Science Student, Manipal University, B-80 Aakriti Gardens, Nehru Nagar, Bhopal - 462 003, India
2 Senior Faculty, Data Science and Machine Learning, with Manipal ProLearn (Manipal Academy of Higher Education – South Bangalore Campus), 3rd Floor, Salarpuria Symphony, 7, Service Road, Pragathi Nagar, Electronics City Post, Bengaluru – 560 100, India

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In this work we are trying to build a controller for a musculoskeletal model that has the goal of matching a given time-varying velocity vector. The major objective is building a musculoskeletal model which is fully comprehensive and reproduces realistic human movements driven by muscle contraction dynamics. Spectrum of human movement will be generated through variations in the anatomic model.

Keywords

3D Musculoskeletal Model, Artificial Intelligence, Reinforcement Learning.

Manuscript Received: April 3, 2020; Revised: April 25, 2020; Accepted: May 2, 2020.

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  • Reinforcement Learning of 3D Musculoskeletal Model for Walking or Running with Minimum Efforts

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Authors

Vikram Singh Chandel
Data Science Student, Manipal University, B-80 Aakriti Gardens, Nehru Nagar, Bhopal - 462 003, India
Subhabaha Pal
Senior Faculty, Data Science and Machine Learning, with Manipal ProLearn (Manipal Academy of Higher Education – South Bangalore Campus), 3rd Floor, Salarpuria Symphony, 7, Service Road, Pragathi Nagar, Electronics City Post, Bengaluru – 560 100, India

Abstract


In this work we are trying to build a controller for a musculoskeletal model that has the goal of matching a given time-varying velocity vector. The major objective is building a musculoskeletal model which is fully comprehensive and reproduces realistic human movements driven by muscle contraction dynamics. Spectrum of human movement will be generated through variations in the anatomic model.

Keywords


3D Musculoskeletal Model, Artificial Intelligence, Reinforcement Learning.

Manuscript Received: April 3, 2020; Revised: April 25, 2020; Accepted: May 2, 2020.


References





DOI: https://doi.org/10.17010/ijcs%2F2020%2Fv5%2Fi2-3%2F152870