Ioannis Kymissis
Papers
4
Total Citations
72
H-Index
4
About
Ioannis Kymissis is a leading innovator in tactile sensing and robotic manipulation, with a research focus on developing novel sensor architectures that overcome the limitations of traditional touch transduction. His major contributions center on rethinking how tactile data is acquired and processed—moving away from complex sensor matrices toward elegant, data-driven approaches that use overlapping signals for high-accuracy localization. His most cited work, a 2020 paper on a sensorized multicurved robot finger with data-driven touch sensing via overlapping light signals (60 citations), demonstrates a breakthrough in integrating touch sensors into non-planar, real-world robotic fingers. Kymissis has also pioneered the use of MEMS microphones as vibration sensors for simultaneous texture classification and contact estimation, and has advanced optics-based tactile sensors for precise indentation depth prediction. His work consistently addresses the practical challenges of fabrication, circuitry, and adaptability, making tactile sensing more viable for widespread robotic use. With a citation count exceeding 70 across his top papers, Kymissis is recognized for pushing the boundaries of how robots can feel and interact with their environment, bridging the gap between laboratory prototypes and deployable, sensor-rich robotic hands.
Research Focus
Key Achievements
Top Papers
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