Serkan Ergun Develops Touch-Sensitive Robotics at University of Klagenfurt

Serkan Ergun at the University of Klagenfurt is developing advanced near-field sensors for robotics to enhance the interaction between robots and humans in dynamic environments. His research focuses on creating robot fingers that can detect how to grasp objects of various materials, utilizing sensors that measure forces to adjust grip strength. Ergun, a doctoral student with a background in mechanical engineering, has published multiple conference papers and articles. He emphasizes the importance of artificial intelligence for robots to respond flexibly to real-world situations.

Published Mar 26, 2026

Serkan Ergun is researching near-field sensor technology at the University of Klagenfurt to enhance robot sensitivity in interaction with humans. The sensors enable robot fingers to detect how to grasp different objects, adjusting grip strength dynamically by measuring normal and shear forces.

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Ergun's work focuses on ensuring robots can safely interact with people in industrial settings. He has published several papers during his doctoral studies and is working on his dissertation centered on near-field sensing.

His diverse background includes studying mechanical engineering and gaining experience in artificial intelligence and programming, which he applies in robotics. Ergun teaches a popular robotics course with around 200 international students, reflecting his own multicultural family background.