Papers
4
Total Citations
133
H-Index
3
About
Ioannis Kleitsiotis is a leading researcher in agricultural robotics and autonomous navigation, with a focus on enabling intelligent machines to operate in complex, unstructured environments. His work bridges the gap between perception, control, and real-world deployment, particularly in precision agriculture and industrial logistics. His most-cited survey, “A Survey of Robotic Harvesting Systems and Enabling Technologies” (2023, 86 citations), provides a definitive overview of ground agricultural robots and their core technologies, shaping the direction of the field. Kleitsiotis has also made significant contributions to autonomous navigation in challenging settings. His paper on “Pallet detection and docking strategy for autonomous pallet truck AGV operation” (2021, 25 citations) introduces a vision-based system for safe, path-free operation in human-populated factories. In agriculture, his work on “Loop Closure Detection and SLAM in Vineyards with Deep Semantic Cues” (2022, 19 citations) presents a custom Graph-SLAM pipeline that leverages semantic information for robust localization in vineyards. Additionally, his research on anisotropic diffusion for scene segmentation (2021) advances computer vision techniques. With over 130 total citations, Kleitsiotis is recognized for developing practical, perception-driven solutions that push the boundaries of autonomous systems in both agriculture and industry.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Robotic Harvesting Systems and Enabling Technologies86 citations · 2023
- 2
- 3Loop Closure Detection and SLAM in Vineyards with Deep Semantic Cues19 citations · 2022
- 4