Research Topics
We work on neuro-musculo-skeletal modeling and reinforcement learning for human motion control and interactive robotics.
Related areas
AI for Health, Machine Learning, Neural Engineering, Robotics
Neuro-Musculo-Skeletal Modeling
Learning to Move
Optimistic Local Latent Safe Optimization
A Optimistic Local Latent Safe Optimization method for online safe optimization over high-dimensional spaces, which efficiently optimizes the high-dimensional function while enjoying theoretical probabilistic safety guarantee.
Two Stages Hierarchical Training
A hierarchical reinforcement learning algorithm for high-dimensional full-body human musculoskeletal model control.
Interactive Robotics
Preference-based Learning
A personalized gait optimization framework for lower-body exoskeleton.
Human-machine Interaction
Based on the existing model, build a full-body human musculoskeletal model. This model can interact with other machines, such as Exoskeleton, Cruth, and so on.
Wheeled-legged Quadruped
Learning adaptive locomotion for wheeled-legged quadrupeds.