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Seungmoon Song

8 accepted papers

2026

Exo-Plore: Exploring Exoskeleton Control Space through Human-aligned Simulation

ICLR 2026poster

Exoskeletons show great promise for enhancing mobility, but providing appropriate assistance remains challenging due to the complexity of human adaptation to external forces. Current state-of-the-art approaches for optimizing exoskeleton controllers require extensive human experiments in which parti…

Cited by 0SourcecodeScholar
2025

Ankle Exoskeleton Control via Data-Driven Gait Estimation for Walking, Running, and Inclines

RA-L 2025

Ankle exoskeletons have the potential to augment mobility, but control strategies have largely failed to seamlessly adapt to changes in the locomotion task. Here, we introduce a multi-headed network that predicts gait speed, ground incline, stance/swing transitions, and percent stance. These predict

Cited by 4SourceScholar
2025

Evaluating Computational Approaches to Metabolic Cost Estimation in Gait Assistance with a Passive Exosuit*

IROS 2025

Lower limb exoskeletons and exosuits have shown promise in augmenting human physical capabilities, with applications ranging from rehabilitation to performance enhancement. Accurate evaluation of their impact on metabolic energy expenditure is crucial for optimizing design and control strategies. Wh

Cited by 2SourceScholar
2025

MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans

NeurIPS 2025poster

Recent advancements in bionic prosthetic technology offer transformative opportunities to restore mobility and functionality for individuals with missing limbs. Users of bionic limbs, or bionic humans, learn to seamlessly integrate prosthetic extensions into their motor repertoire, regaining critica…

Cited by 0SourceScholar
2024

Pilot comparison of customized and generalized hip-knee-ankle exoskeleton torque profiles

ICRA 2024poster

Optimized assistance patterns have produced the greatest exoskeleton benefits to energy expenditure of any strategy to date. This strategy may be effective due to the customization of the applied torque profiles to the user as well as the locomotion condition; however, it is currently unclear how se…

Cited by 2SourceScholar
2018

Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped

ICRA 2018poster

Robotics controllers often consist of expert-designed heuristics, which can be hard to tune in higher dimensions. Simulation can aid in optimizing these controllers if parameters learned in simulation transfer to hardware. Unfortunately, this is often not the case in legged locomotion, necessitating…

Cited by 90SourceScholar
2015

Toward a virtual neuromuscular control for robust walking in bipedal robots

IROS 2015poster

Walking controllers for bipedal robots have not yet reached human levels of robustness in locomotion. Imitating the human motor control might be an alternative strategy for generating robust locomotion in robots. We seek to control bipedal robots with a specific neuromuscular human walking model pro…

Cited by 19SourceScholar