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Sangdo Kim

3 accepted papers

2026

Deep Reinforcement Learning for Hip Exoskeleton Control Via Predictive Simulation of Reflex-Based Human Gait

ICRA 2026poster

Lower-limb exoskeletons have the potential to enhance mobility and reduce the metabolic cost of walking,while conventional control strategies often lack adaptability and require labor-intensive tuning. Recent advances in reinforcement learning (RL) provide new opportunities for generating efficient …

Cited by 0Scholar
2026

Multi-Modal Locomotion Mode Recognition in the Real World for Robotic Hip Complex Exoskeletons

ICRA 2026poster

Lower limb exoskeletons assist users by supporting joint movements. Since joint motion patterns vary depending on how the user moves, accurately recognizing the type of movement (locomotion mode) is crucial for controlling the exoskeleton and ensuring user safety. Inspired by how humans use multiple…

Cited by 0SourceScholar
2025

Multi-Modal Locomotion Mode Recognition in the Real World for Robotic Hip Complex Exoskeletons

RA-L 2025

Lower limb exoskeletons assist users by supporting joint movements. Since joint motion patterns vary depending on how the user moves, accurately recognizing the type of movement (locomotion mode) is crucial for controlling the exoskeleton and ensuring user safety. Inspired by how humans use multiple

Cited by 0SourceScholar