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About

Doyeon Han is a leading researcher in the field of human-robot interaction, with a specific focus on the biomechanics of physical contact and collision safety. Her work directly addresses the critical challenge of ensuring human safety as collaborative robots become increasingly prevalent in industrial and everyday settings. Han’s major contributions involve establishing empirical, data-driven thresholds for human pain and injury during robot collisions. By systematically measuring pressure pain thresholds and maximum bearable pain in physical contact situations, she provides the foundational data needed to design safer robotic systems. Her 2019 paper on pressure pain thresholds in collisions with collaborative robots, cited 33 times, is a cornerstone in this area, offering essential criteria for safety standards. Han’s research extends to analyzing skin injuries and identifying specific safety conditions, bridging the gap between biomechanical data and practical robot design. Her work is instrumental in moving beyond general safety guidelines toward precise, quantifiable limits that can directly inform the development of inherently safer collaborative robots, making her a pivotal figure in the safe integration of robots into human environments.