Papers
26
Total Citations
481
H-Index
13
About
Nico Mansfeld is a robotics researcher whose work sits at the intersection of human-robot interaction, safety engineering, and robot dynamics. His research focuses on ensuring that robots can operate safely and naturally alongside human collaborators, addressing one of the most critical challenges in modern collaborative robotics. Mansfeld's most influential contribution, "Sliding Mode Momentum Observers for Estimation of External Torques and Joint Acceleration" (2019, 79 citations), advances the fundamental problem of collision detection and reaction in robotic systems. Complementing this, his "Safety Map" framework (2018, 65 citations) provides a unified approach to quantifying robot-human injury risk, integrating biomechanical impact data with robot dynamic properties — enabling safety to be engineered in from the earliest design stages rather than retrofitted. His broader body of work spans variable stiffness actuators, effective mass minimization for velocity control, tactile performance benchmarking, and a thoughtful examination of ISO/TS 15066 standards, demonstrating both theoretical depth and applied rigor. Notably, his 2022 work on "Expectable Motion Units" extends safety considerations beyond biomechanics into human psychology, recognizing that robot predictability is as vital as physical protection. With over 300 cumulative citations, Mansfeld has established himself as a substantive voice in the design of robots that are not merely functional, but genuinely safe partners for human co-workers.
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