Bridge biomechanics, neuroscience,
robotics, and machine learning
to study and improve human movement
MyoSuite: contact-rich framework for musculoskeletal motor control
- In collaboration with: Meta AI, University of Twente, McGill University
Seungmoon Song's projects before 2022
Self-paced treadmill
NeurIPS 2019: Learn to Move - Walk Around
3D neuromechanical simulation of human locomotion
Self-paced treadmill
- Systems: Bertec instrumented treadmill, Speedgoat, Matlab
- Song, S., Choi, H., & Collins, S. H. (2020). Using force data to self-pace an instrumented treadmill and measure self-selected walking speed. Journal of NeuroEngineering and Rehabilitation, 17(1), 1-14.
NeurIPS 2019: Learn to Move - Walk Around
- Role: lead-organizer
- Team: Stanford U, UC Berkely
- Song, S., Kidziński, Ł., Peng, X. B., Ong, C., Hicks, J., Levine, S., Atkeson, C. G. & Delp, S. L. (2021). Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation. Journal of neuroengineering and rehabilitation, 18(1), 1-17.
3D neuromechanical simulation of human locomotion