2026
Lightweight Learning From Actuation-Space Demonstrations via Flow Matching for Whole-Body Soft Robotic Grasping
RA-L 2026
Robotic grasping under uncertainty remains a fundamental challenge due to its uncertain and contact-rich nature. Traditional rigid robotic hands, with limited degrees of freedom and compliance, rely on complex model-based and heavy feedback controllers to manage such interactions. Soft robots, by co