Papers
9
Total Citations
262
H-Index
6
About
Georgia Peleka is a leading researcher at the intersection of robotic manipulation, computer vision, and human-centered assistive technology. Her work spans the challenging domains of deformable object perception and autonomous garment handling, where she developed a complete pipeline for folding clothes using a dual-armed robot—a landmark contribution cited over 125 times. She pioneered deep learning approaches for category and pose recognition of highly deformable objects, achieving 64 citations for her foundational work. Peleka’s multi-sensorial framework, integrating RGB-D, tactile, and photometric sensors, enables robots to recognize garments and their material properties in unconstrained environments. Notably, she is a driving force behind the RAMCIP project, a service robot designed to provide proactive, discreet assistance to elderly individuals with Mild Cognitive Impairments (MCI), with publications demonstrating personalized support based on user mood. Her recent contributions extend to robotic medication intake assistance, real-time stereo reconstruction for minimally invasive surgery, and multisensory robotic systems for precision agriculture, including grape inspection and selective harvesting. With over 260 total citations, Peleka’s work exemplifies how advanced robotics can address real-world challenges in healthcare, domestic assistance, and agriculture.
Research Focus
Key Achievements
Top Papers
- 1Folding Clothes Autonomously: A Complete Pipeline125 citations · 2016
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- 4RAMCIP - A Service Robot for MCI Patients at Home18 citations · 2018
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- 6Robotic Assistance in Medication Intake: A Complete Pipeline9 citations · 2022
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