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
Spinal Cord Model
Use clinical data to build personalized spinal cord model.
Spinal Cord Model
Use clinical data to build personalized spinal cord model.
Musculoskeletal Model
Based on the existing model, build a full-body human musculoskeletal model.
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.