Sotiris Antonakoudis
Papers
1
Total Citations
2
H-Index
1
About
Sotiris Antonakoudis is a robotics researcher whose work focuses on the critical challenge of robot perception and safe navigation in dynamic environments. His primary research areas include robot vision, sensor fusion, and occlusion-aware motion planning, with a particular emphasis on enabling robots to operate reliably alongside humans. Antonakoudis's most notable contribution is his development of a lightweight method for detecting dynamic target occlusions caused by the robot's own body, a problem that often leads to tracking failures or collisions in real-world applications. This work, published in 2023, has already garnered early citations, signaling its practical relevance to the field. By addressing the often-overlooked issue of self-occlusion, Antonakoudis provides a computationally efficient solution that can be integrated into existing robotic systems without significant overhead. His research is particularly valuable for autonomous mobile robots, collaborative manipulators, and service robots that must maintain awareness of moving objects despite their own movements. Antonakoudis's approach represents a meaningful step toward more robust and safer human-robot interaction, making his work essential reading for researchers developing perception systems for real-world deployment.
Research Focus
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Top Papers
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