Tsinghua University

Learning & Neural Systems Group
Learning &
Neural Systems Group

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

MS-Human-700

A whole-body human musculoskeletal model with 700 muscle-tendon units.

Optimization and Control Methods

Safe Optimization

Efficient optimization under safety constraints.

Preference-based Optimization

Optimization based on preference feedback.

High-dimensional Optimization

Optimization for high-dimensional problems.

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.