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
![](src/research/spinal_cord1.png)
Spinal Cord Model
Use clinical data to build personalized spinal cord model.
![](src/research/spinal_cord2.png)
Spinal Cord Model
Use clinical data to build personalized spinal cord model.
![](src/research/model_full.png)
Musculoskeletal Model
Based on the existing model, build a full-body human musculoskeletal model.
Learning to Move
![](src/research/learning2.png)
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.
![](src/research/learning1.png)
Two Stages Hierarchical Training
A hierarchical reinforcement learning algorithm for high-dimensional full-body human musculoskeletal model control.
Interactive Robotics
![](src/research/robot.png)
Preference-based Learning
A personalized gait optimization framework for lower-body exoskeleton.
![](src/research/engine.png)
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.
![](src/research/wheel1.png)
Wheeled-legged Quadruped
Learning adaptive locomotion for wheeled-legged quadrupeds.