Papers
2
Total Citations
15
H-Index
2
About
Enrico Marcuzzi is a robotics researcher whose work focuses on autonomous navigation, sensor-based perception, and real-time motion planning for mobile robots. His most cited contribution, "An object localization and reaching method for wheeled mobile robots using laser rangefinder" (2008, 13 citations), introduces an efficient scheme for identifying objects from laser range data and generating highly continuous paths for precise target reaching. The method combines laser-based localization with a PC-slipping controller, enabling robots to navigate dynamically and accurately toward objects. Marcuzzi also explores reactive simulation for obstacle avoidance, as seen in his 2008 paper (2 citations), which addresses real-time collision prevention in cluttered environments. His work is particularly valuable for students and researchers interested in integrating perception and control for autonomous systems, offering practical solutions for wheeled robots in industrial or service applications. Marcuzzi’s contributions, though modest in citation count, provide foundational techniques for object localization and reactive navigation, demonstrating a clear impact on the development of efficient, real-time robotic behaviors.
Research Focus
Key Achievements
Top Papers
- 1
- 2Reactive Simulation for Real-Time Obstacle Avoidance2 citations · 2008