Domenico Cappello
Papers
1
Total Citations
48
H-Index
1
About
Domenico Cappello is a researcher whose work lies at the intersection of robotics, control theory, and multi-agent systems, with a particular focus on collision avoidance and game-theoretic formulations. His most cited paper, "A Hybrid Controller for Multi-Agent Collision Avoidance via a Differential Game Formulation" (2020), has garnered 48 citations, reflecting its significance in addressing the critical challenge of safe navigation for teams of wheeled mobile robots. Cappello’s major contribution in this work is the development of a hybrid controller that builds upon a local, game-theoretic solution to multi-agent collision avoidance. While the original formulation was validated only through numerical simulations and was ill-suited for real-time, online deployment due to its local nature, Cappello’s hybrid approach bridges the gap between theoretical robustness and practical applicability. This innovation is particularly notable for its potential to enhance autonomous systems in dynamic environments, such as warehouse logistics or drone swarms. His research demonstrates a keen ability to translate complex mathematical frameworks into implementable solutions, making him a valuable contributor to the field of robotics and multi-agent coordination.
Research Focus
Key Achievements
Top Papers
- 1