Luigino Filice
Papers
1
Total Citations
4
H-Index
1
About
Luigino Filice is a researcher at the forefront of autonomous robotics and control systems, with a particular focus on advancing robotic fleets for modern industrial applications. His primary research areas include receding horizon control, grid-based path planning, and the integration of autonomous systems within Industry 5.0 environments. Filice’s most notable contribution is the development of a novel Grid-Based Receding Horizon Control strategy for unicycle robots, a breakthrough that enables efficient, real-time navigation and coordination of robotic fleets in dynamic logistic operations. This work, published in 2024, has already garnered 4 citations, signaling its growing influence in the field. By combining grid-based mapping with predictive control mechanisms, Filice addresses critical challenges in industrial automation, such as obstacle avoidance and task optimization. His research is particularly relevant to the evolving landscape of smart manufacturing, where human-robot collaboration is paramount. Filice’s work not only enhances operational efficiency but also lays the groundwork for safer, more adaptive robotic systems, making him a rising voice in the robotics community.
Research Focus
Key Achievements
Top Papers
- 1