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About

Iasonas Kokkinos is a leading researcher at the intersection of assistive robotics, computer vision, and human-robot interaction, with a primary focus on developing intelligent mobility and bathing assistance systems for the elderly. His most impactful contribution is the "I-Support" robotic platform, an assistive bathing robot that has garnered 74 citations since 2020, addressing critical challenges in elderly care and independence. Kokkinos has pioneered multimodal sensory processing for mobility assistance robots, achieving 20 citations for his 2014 work, and developed accurate human-limb segmentation techniques in RGB-D images (18 citations) that enable robots to understand and respond to human movement. His research extends to multimodal interaction models for human-assistive robot communication (17 citations) and human joint angle estimation with gesture recognition (17 citations), creating intuitive interfaces for elderly users. Notably, Kokkinos has also contributed to the theoretical foundations of multirobot systems through work on robot-robot gesturing for anchoring representations (8 citations), and co-authored an editorial on deep learning for computer vision (13 citations). His body of work, spanning over 167 total citations, demonstrates a sustained commitment to developing robotic solutions that enhance quality of life for aging populations through intelligent, perceptive, and interactive assistive technologies.