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About

Michael Seokyoung Han is a rising star in the field of soft robotics and bio-inspired manipulation. His research focuses on bridging the gap between human dexterity and robotic systems, with key contributions in anthropomorphic robotic hands, soft optical sensing, and tendon-driven actuation. Han’s most cited work, “Journey from human hands to robot hands” (2024, 16 citations), provides a comprehensive review of biologically inspired robotic manipulators, highlighting the challenge of replicating the human hand’s delicate yet powerful capabilities. He has pioneered the development of soft, all-polymer optoelectronic tactile sensors for stick-slip detection (2022, 7 citations), enabling robots to emulate human tactile feedback during grasping. His innovative design of a bio-inspired robotic finger driven and shape-sensed by soft optical tendons (2024, 3 citations) addresses the complex integration of sensing and actuation in a single, compliant structure. Han has also advanced embedded optical waveguide sensors for real-time monitoring in twisted-beam structures (2024, 2 citations) and developed strained elastic surfaces with adjustable-modulus edges for soft robotic actuation (2023, 2 citations). His work is instrumental in creating safer, more dexterous robots for human interaction, with potential applications in prosthetics and collaborative robotics.