Papers
19
Total Citations
483
H-Index
10
About
Ioannis Mariolis is a robotics and computer vision researcher whose work spans robotic manipulation, agricultural automation, and intelligent perception systems. He is perhaps best known for his pioneering contributions to robotic garment handling — a notoriously difficult problem combining deformable object perception with complex manipulation. His 2016 paper "Folding Clothes Autonomously: A Complete Pipeline," with 125 citations, established a landmark end-to-end framework for autonomous clothing folding using dual-armed robots, while earlier work on geometric unfolding approaches and deep learning-based garment recognition (64 citations) demonstrated his systematic effort to solve this challenge from multiple angles. Mariolis has also made significant strides in agricultural robotics, with his 2023 harvesting systems survey accumulating 86 citations and serving as a key reference for the field. His research extends into human-robot interaction, where he developed intuitive teaching-by-demonstration frameworks for industrial assembly tasks, and into mobile robotics, including SLAM solutions tailored for vineyard environments. His multi-sensorial perception work further reflects a commitment to robust, real-world robotic systems. Across more than a decade of research, Mariolis has consistently bridged theoretical innovation with practical deployment, making him a notable contributor to applied robotics.
Research Focus
Key Achievements
Top Papers
- 1Folding Clothes Autonomously: A Complete Pipeline125 citations · 2016
- 2A Survey of Robotic Harvesting Systems and Enabling Technologies86 citations · 2023
- 3
- 4
- 5A geometric approach to robotic unfolding of garments41 citations · 2015
- 6
- 7Loop Closure Detection and SLAM in Vineyards with Deep Semantic Cues19 citations · 2022
- 8
- 9
- 10Path Optimization Using Metaheuristic Techniques for a Surveillance Robot10 citations · 2023