Serkan Ergun
Papers
4
Total Citations
25
H-Index
3
About
Serkan Ergun is a leading researcher at the intersection of safe human-robot collaboration (HRC) and intelligent tactile perception. His work centers on developing capacitive proximity and tactile sensing technologies that enable robots to perceive and interact with their environment—and with human coworkers—more safely and intuitively. Ergun’s major contributions include the creation of a unified perception benchmark for capacitive proximity sensing, which provides a standardized framework for evaluating sensor performance in HRC contexts, and the development of wireless capacitive tactile sensor arrays that allow robots to perform delicate grasps on unknown, arbitrarily shaped objects. His research has been instrumental in addressing critical safety challenges: by demonstrating how on-robot capacitive sensors can detect collisions and proximity, his work helps relax restrictive speed limits in collaborative settings without compromising human safety. With over 25 citations across his most-cited papers, Ergun’s impact is growing rapidly. His recent exploration of hybrid approaches for automated textile sorting further showcases his versatility, applying sensing principles to sustainability challenges. Ergun’s work is essential reading for anyone interested in making robots safer, more perceptive, and more capable of handling the nuanced physical interactions of the real world.
Research Focus
Key Achievements
Top Papers
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- 4A hybrid approach towards automated textile sorting1 citations · 2025