Mingchao Liu

Inverse Design of Snap-Actuated Jumping Robots Powered by Mechanics-Aided Machine Learning

Simulating soft robots offers a cost-effective approach to exploring their design and control strategies. While current models, such as finite element analysis, are effective in capturing soft robotic dynamics, the field still requires a broadly applicable and efficient numerical simulation method.