Athanasios Katsamanis

Papers

Total Citations

131

H-Index

About

Athanasios Katsamanis is a leading researcher in multimodal perception and human-robot interaction, with a focus on developing intelligent systems that understand human behavior through multiple sensory channels. His most cited work, "Multimodal human action recognition in assistive human-robot interaction" (118 citations), pioneers an integrated framework that combines audio from microphone arrays with high-definition visual inputs to enable robots to recognize and respond to human actions in assistive contexts. This contribution is critical for creating more natural and effective human-robot collaboration, particularly in healthcare and rehabilitation settings. Katsamanis also advances computational saliency modeling, as demonstrated in his work "Towards a behaviorally-validated computational audiovisual saliency model" (13 citations), which bridges the gap between bottom-up attention prediction and real-world behavioral validation. His research has significant implications for robotic navigation, image compression, and multimedia summarization. By grounding computational models in behavioral data, Katsamanis ensures that his systems are not only theoretically sound but practically deployable. His work stands at the intersection of computer vision, audio processing, and robotics, driving progress toward truly perceptive and responsive autonomous systems.