Papers
21
Total Citations
766
H-Index
11
About
Andreas Kargakos is a robotics and computer vision researcher whose work spans autonomous manipulation, robot navigation, and human-robot interaction. He is perhaps best known for his pioneering contributions to robotic garment handling — a notoriously difficult domain due to the highly deformable nature of clothing. His landmark studies on autonomous clothes recognition, unfolding, and folding using dual-armed robots (accumulating over 130 and 125 citations respectively) introduced data-driven and deep learning pipelines that significantly advanced the state of the art in deformable object manipulation. His widely cited 2016 review of global path planning methods for occupancy grid maps (177 citations) reflects an equally strong command of robot navigation fundamentals. Beyond manipulation, Kargakos has explored socially aware robot navigation, human activity understanding, and augmented reality interfaces for safe human-robot collaboration in industrial environments. His work on autonomous pallet truck AGVs further demonstrates an applied engineering dimension, bridging research and real-world deployment. With a total body of work exceeding 690 citations, Kargakos has established himself as a versatile and impactful contributor to intelligent robotics, with particular depth in perception, planning, and safe human-robot coexistence.
Research Focus
Key Achievements
Top Papers
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- 3Folding Clothes Autonomously: A Complete Pipeline125 citations · 2016
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- 5A geometric approach to robotic unfolding of garments41 citations · 2015
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