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Optimizing exoskeleton assistance for faster self-selected walking S Song & SH Collins submitted |
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Deep reinforcement learning for modeling human locomotion in neuromechanical simulation S Song, Ł Kidziński, XB Peng, C Ong, J Hicks, S Levine, CG Atkeson & SL Delp submitted [preprint] [video 2017] [video 2018] [video 2019] |
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Using force data to self-pace an instrumented treadmill and measure self-selected walking speed S Song, H Choi & SH Collins Journal of NeuroEngineering and Rehabilitation, 2020 [paper] [code] [video] |
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Predictive neuromechanical simulations indicate why walking performance declines with aging S Song & H Geyer The Journal of Physiology, 2018 [paper] [press] |
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Evaluation of a Neuromechanical Walking Control Model Using Disturbance Experiments S Song & H Geyer Frontiers in Computational Neuroscience, 2017 [paper] [video 1] [video 2] |
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A neural circuitry that emphasizes spinal feedback generates diverse behaviours of human locomotion S Song & H Geyer The Journal of Physiology, 2015 [paper] [video] [model] [journal cover] |
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Bayesian optimization using domain knowledge on the ATRIAS biped A Rai, R Antonova, S Song, W Martin, H Geyer & CG Atkeson IEEE ICRA, 2018 [payper] [video] |
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Towards a hierarchical neuromuscular control model with reflex-based spinal control
- A study with a simple running model S Song International Symposium on Advanced Intelligent Systems, 2015 [paper] [video] [best presentation award] |
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Regulating speed in a neuromuscular human running model S Song & Hartmut Geyer IEEE Humanoids, 2015 [paper] [video] |
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Toward a virtual neuromuscular control for robust walking in bipedal robots Z Batts, S Song & Hartmut Geyer IEEE IROS, 2015 [paper] [video] |
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Development of a bipedal robot that walks like an animation character S Song, J Kim & K Yamane IEEE ICRA, 2015 [paper] [video] [talk] [press] |
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Integration of an adaptive swing control into a neuromuscular human walking model S Song, R Desai & H Geyer IEEE EMBC, 2013 [paper] [video] |
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Generalization of a muscle-reflex control model to 3D walking S Song & H Geyer IEEE EMBC, 2013 [paper] |
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The effect of foot compliance encoded in the windlass mechanism on the energetics of human walking S Song, C LaMontagna, SH Collins & H Geyer IEEE EMBC, 2013 [paper] [video] [project page] |
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Regulating speed and generating large speed transitions in a neuromuscular human walking model S Song & H Geyer IEEE ICRA, 2012 [paper] [video] [slides] |
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The energetic cost of adaptive feet in walking S Song & H Geyer IEEE ROBIO, 2011 [paper] [slides] [project page] |
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Development of an omnidirectional walking engine for full-sized lightweight humanoid robots S Song, YJ Ryoo & DW Hong ASME IDETC, 2011 [paper] [video1] [video2] [slides] [project page] |
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Linear-time encodable rate-compatible punctured LDPC codes with low error floors S Song, D Hwang, S Seo & J Ha IEEE VTC, 2008 [paper] |
S Song, H Choi, K Poggensee, CG Atkeson & SH Collins, Human-in-the-loop optimization of ankle-exoskeleton assistance for faster preferred walking speed: a preliminary study, Dynamic Walking, 2019.
[5 min talk]
S Song, Ł Kidziński, R Khidorka, C Ong, S Mohanty, J Hicks, J Ku, S Carroll, S Levine, M Salathé, CG Atkeson, SH Collins & S Delp, Learn to Move: a competition to bridge biomechanics, neuroscience, robotics, and machine learning to model human motor control, Dynamic Walking, 2019.
[10 min talk + Q&A]
S Song, H Geyer, SH Collins & CG Atkeson, Towards predictive neuromechanical simulations for pathological gait and assistive devices, World Congress of Biomechanics, 2018.
[poster]
A Falisse, G Serrancoli, C Dembia, S Song, I Jonkers & F De Groote, "Computationally efficient pre-dictive muscle-driven simulations of 3D walking," World Congress of Biomechanics, 2018.
S Song, Y Aucie & G Torres-Oviedo, Can split-belt treadmill walking be explained with a reflex-based model?, Neuroscience, 2017.
[poster]
S Song & H Geyer, Modeling and exploring elderly walking with neuromechanical simulations, Dynamic Walking, 2017.
[12 min talk + Q&A]
S Song & H Geyer, A spinal reflex based neuromuscular model of human locomotion investigated against unexpected disturbances, Neuroscience, 2016.
[poster]
S Song & H Geyer, Testing a neuromuscular locomotion control model against human experiments, Dynamic Walking, 2016.
[10 min talk + Q&A]
S Song & H Geyer, Using a neuromuscular model of human locomotion to control bipedal robots, Dynamic Walking, 2015.
[poster]
S Song & H Geyer, Robust 3D locomotion models using primarily reflex control, Dynamic Walking, 2013.
[10 min talk + 10 min Q&A]
J Kim, K Yamane & S Song, Method for developing and controlling a robot to have movements match-ing an animation character, United States Patent 9427868, 2016.
[link]
J Nam, J An, D Hwang, J Ha & S Song, Apparatus and method for encoding low density parity check code, Korean patent 10-0999272-00-00, 2010.
[link]
WearRAcon, March 2020.
“Towards optimal gait assistance”
[20 min talk + 5 min Q&A]
[link]
NeurIPS Deep RL workshop, December 2019.
“Learn to Move competition”
[15 min talk]
[link]
Universities in Europe, July 2018
“Modeling human locomotion control and its applications”
[40 min talk + 20 min Q&A]
Universities and research institutes in Korea, July 2017
“Neuromechanical control models of human locomotion and their applications to rehabilitation engineering”
[40 min talk + 20 min Q&A]
Universities and companies in Korea, November 2015
“A neuromuscular model of human locomotion and its applicaiton to robotic assistive devices”
[40 min talk + 20 min Q&A]
The 10th workshop on humanoid soccer robots at IEEE Humanoids, November 2015.
“Neuromuscular model of human locomotion that can generate diverse locomotion behaviors”
[30 min talk]
[link]
“Understanding the control of human locomotion through simulation and its application to robotic assistive devices,” MATERIC (mechanical and construction engineering research information center), February, 2016. [article]
“Robotic lower-limb prosthetics related technical issues - 2. Control,” ROBOT (monthly magazine), May 2013.
[article]
“Robotic lower-limb prosthetics related technical issues - 1. Hardware,” ROBOT (monthly magazine), April 2013.
[article]