Zou Shangwei is a Master’s student in Robotics at the National University of Singapore (NUS) and currently serves as a research intern at the Singapore-MIT Alliance for Research & Technology (SMART). His research focuses on soft robotic arm control theory and learning-based control strategies for soft manipulators.
Passionate about scientific research and exploring the unknown, Shangwei is committed to solving complex engineering challenges by combining advanced control algorithms with data-driven techniques. He aims to translate theoretical innovations into practical applications and contribute meaningfully to the advancement of intelligent robotic systems.
Adaptive and Multi-object Grasping via Deformable Origami Modules
Year of Publication:
Venue:
IEEE RoboSoft 2026
2026
Publication Type:
Conference
Status:
Accepted (Best Paper Finalists)
Authors:
Peiyi Wang (SMART), Paul A. M. Lefeuvre (NUS), Shangwei Zou (NUS, SMART), Zhenwei Ni (NUS), Daniela Rus (MIT), Cecilia Laschi (NUS)
