Soft Body Simulator
Developed numerical frameworks leveraging discrete differential geometry and physics-informed machine learning to model, simulate, and inverse design flexible structures, advancing soft robotics and elastic rod mechanics.
Research Collections
Soft Body Control
Developed a control scheme combining discrete differential geometry and physics-informed machine learning for real-time control, enhancing the performance of soft robots in complex environments.
Bio-Inspired Robotics
Developed bio-inspired robotic systems for peristaltic transport and flagellated swimming, exploring soft actuation, proprioceptive control, and hydrodynamic interactions.
Swarm Robotics
Investigated the locomotion of undulatory swimming robot groups in close proximity, examining how swarm synchronization emerges through autonomous or externally driven actuation.
Magneto-Rheological Material
Advanced a novel design of damping and stiffness controllable semi-active suspension, which outperform passive system in both theoretical analysis and experimental evaluation significantly.
