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About

Wenshuai Tan is a robotics researcher whose work spans two interconnected domains: modular self-assembly robotics and magnetically actuated surgical systems. His contributions to the SambotII platform — an evolution of the earlier SambotI design — advanced the field of self-assembly modular robots by significantly enhancing environmental perception and target recognition capabilities, earning 17 citations and establishing him as a contributor to reconfigurable robotic systems. Tan's more extensive research portfolio focuses on solving practical challenges in single incision laparoscopic surgery (SILS), where instrument interference and restricted field of view limit surgical dexterity. Drawing inspiration from spherical magnetic field theory, he developed and refined a series of magnetically actuated flexible-joint robotic surgical camera systems with four degrees of freedom, progressing from initial design and modeling through to full implementation and intelligent control. His 2021 work applying reinforcement learning to control this novel platform represents a forward-looking integration of machine learning with surgical robotics. Across his publications, Tan demonstrates a consistent drive to translate innovative mechanical design into clinically relevant, practically deployable robotic solutions.