Papers
22
Total Citations
376
H-Index
12
About
Simone Denei is a robotics researcher whose work has fundamentally advanced the field of tactile sensing and human-robot interaction. His research centers on developing large-scale robotic skin systems, tackling the formidable challenges of sensor calibration, data processing, and meaningful interpretation of touch feedback in robotic platforms. Among his most significant contributions are pioneering methods for self-calibrating tactile elements (taxels) mounted across robot body surfaces — a problem largely overlooked before large-scale skin systems became feasible. His 2011 paper on spatial calibration using force/torque measurements (53 citations) and earlier self-calibration work (33 citations) established foundational techniques still referenced widely today. Denei also developed real-time data acquisition frameworks capable of handling the enormous throughput demands of whole-body robotic skin systems, and designed representational frameworks for encoding tactile information into actionable robot control strategies. Notably, his 2017 work on discriminating human hand contact from generic touches (40 citations) demonstrates a compelling vision for safer, more intuitive physical human-robot collaboration. His research extends into flexible organic electronics and industrial gripper applications, reflecting an impressive breadth across hardware, software, and interaction design — making him a distinctly versatile contributor to modern robotics and embodied artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1Skin spatial calibration using force/torque measurements53 citations · 2011
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- 4Towards automated self-calibration of robot skin33 citations · 2010
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- 6Tactile sensing: Steps to artificial somatosensory maps26 citations · 2010
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- 9A framework for representing interaction tasks based on tactile data17 citations · 2010
- 10A middleware for whole body skin-like tactile systems15 citations · 2011