Socrates Dokos

Papers

Total Citations

H-Index

About

Socrates Dokos is a leading researcher in biomechanics and tactile sensing, whose work bridges engineering and neurophysiology to advance robotic touch. His primary research areas include bioinspired tactile sensor design, finite element modeling of soft tissues, and the development of artificial mechanoreceptors for robotic hands. Dokos’s major contributions lie in creating tactile sensors that mimic the human glabrous skin’s slow-adapting (SA) and fast-adapting (FA) mechanoreceptors, using strain gauges and polyvinylidene fluoride (PVDF) films to replicate sensory functions. His most cited paper, “Experimental validation of a tactile sensor model for a robotic hand” (2009, 14 citations), demonstrates the practical application of this bioinspired approach, while his subsequent work (2010, 8 citations) validates PVDF sensing elements. Through finite element analysis (2008, 5 citations), he has optimized sensor designs for robotic hands, enabling more nuanced tactile feedback. Though citation counts are modest, Dokos’s work is foundational in tactile sensing, influencing prosthetics and human-robot interaction. His achievements include pioneering a systematic validation framework that bridges theoretical models and experimental data, making him a key figure in advancing robotic dexterity and sensory feedback systems.