Nicola Di Lecce
Papers
3
Total Citations
29
H-Index
2
About
Nicola Di Lecce is a researcher at the intersection of bio-inspired robotics and autonomous systems, whose work draws inspiration from biological neural dynamics to solve complex control problems. His most influential contribution is the development of a hybrid guidance and control system for Unmanned Surface Vehicles (USVs), which integrates neural dynamics with sliding mode control to achieve robust trajectory tracking for underactuated marine vessels. This novel approach addresses the fundamental challenge of controlling vehicles with fewer actuators than degrees of freedom, offering a biologically-grounded solution to a classic engineering problem. In parallel, Di Lecce has made significant contributions to humanoid robotics, designing a bio-inspired model of visual pursuit that combines feedback and predictive control mechanisms. This model, which mimics the smooth pursuit eye movements humans use to track moving targets, was successfully implemented on a physical humanoid robot, demonstrating how neural dynamics can reduce retinal slip more effectively than simple negative feedback. His work on visual pursuit has garnered 21 citations, establishing a foundation for future research in active vision and robotic tracking systems.
Research Focus
Key Achievements
Top Papers
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