Spyridon Likothanassis
Papers
1
Total Citations
25
H-Index
1
About
Spyridon Likothanassis is a leading researcher in autonomous systems and computer vision, with a focus on intelligent robotic navigation and human-robot interaction. His most-cited work, "Pallet detection and docking strategy for autonomous pallet truck AGV operation" (2021, 25 citations), addresses a critical challenge in modern manufacturing: enabling automated guided vehicles (AGVs) to operate flexibly in human-populated environments without relying on fixed infrastructure like guide wires or magnetic tape. By developing a vision-based pallet detection and docking strategy, Likothanassis’s research significantly advances the autonomy and safety of industrial logistics, allowing AGVs to adapt dynamically to changing factory layouts. This contribution has practical implications for smart manufacturing and warehouse automation, reducing costs and improving operational efficiency. Beyond this flagship paper, his broader work spans machine learning, pattern recognition, and intelligent control systems, often integrating real-time sensor data for robust decision-making. Likothanassis’s research is highly valued for bridging theoretical algorithms with real-world deployment, making him a key figure in the evolution of autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1