2023
Towards a Physics-Based Model for Steerable Eversion Growing Robots
Zicong Wu, Mikel De Iturrate Reyzabal, S. M. Hadi Sadati, Hongbin Liu, Sébastien Ourselin, Daniel Richard Leff +3
RA-L 2023
Soft robots that grow through eversion/apical extension can effectively navigate fragile environments such as ducts and vessels inside the human body. This paper presents the physics-based model of a miniature steerable eversion growing robot. We demonstrate the robot's growing, steering, stiffening