Papers
6
Total Citations
104
H-Index
4
About
Michele Furci is a robotics researcher specializing in multi-robot coordination, supervisory control, and autonomous navigation for search and rescue missions. His work focuses on developing control architectures that enable effective human-robot interaction in hostile and unstructured environments. Furci's most influential contribution is his 2016 paper on a control architecture for multiple drones operated via multimodal interaction in search and rescue missions, which has garnered 69 citations. This work addresses the critical challenge of enabling a single human operator to coordinate multiple unmanned aerial vehicles to retrieve relevant information during emergency scenarios. He has also made significant contributions to multi-robot path planning with generalized connectivity (15 citations), ensuring coordinated navigation in cluttered environments. His research extends to supervisory control strategies for heterogeneous robot teams, input allocation for robots with saturated inputs using genetic algorithms, and combined planning and control strategies for mobile robots in populated environments. Furci's work bridges the gap between theoretical control systems and practical deployment in real-world emergency response scenarios, demonstrating particular strength in developing reactive supervisory systems based on discrete event systems theory that can adapt to dynamic, hostile conditions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-robot path planning with maintenance of generalized connectivity15 citations · 2017
- 3
- 4
- 5
- 6Robust Supervisory-Based Control Strategy for Mobile Robot Navigation3 citations · 2015