Carmine Dimiccoli
Papers
1
Total Citations
17
H-Index
1
About
Carmine Dimiccoli is a researcher whose work lies at the intersection of robotics, human-robot interaction, and autonomous navigation. His key research areas include human-augmented mapping, multi-sensor fusion, and laser-based perception for mobile platforms. Dimiccoli’s major contribution is the development of a laser-based people-following system that enables mobile robots to detect and track individuals in indoor environments by identifying leg patterns from laser range data. This work, published in his most-cited paper “Laser-based people-following for human-augmented mapping of indoor environments” (2007, 17 citations), introduced a practical method for Human-Augmented Mapping (HAM)—a paradigm where robots leverage human guidance to build more accurate environmental maps. By integrating multi-sensor data, his approach enhances a robot’s ability to navigate dynamic spaces while maintaining robust person tracking. Though his citation count is modest, Dimiccoli’s research addresses a foundational challenge in assistive robotics: enabling machines to naturally follow and learn from human companions. His work has influenced subsequent studies in social navigation and collaborative mapping, offering a stepping stone for researchers exploring human-robot teamwork in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1