Rodolfo C. Cavalcante
Universidade Federal de Minas Gerais, Centro Universitário de Belo Horizonte
Papers
2
Total Citations
16
H-Index
2
About
Rodolfo C. Cavalcante is a researcher focused on advancing multi-robot systems, particularly in the domain of autonomous exploration. His key research areas include combinatorial optimization, distributed coordination, and auction-based task allocation for robotic teams. Cavalcante’s major contributions address the NP-Hard problem of assigning target points to multiple robots during exploration missions. In his most cited work, "A Multi-robot Exploration Approach Based on Distributed Graph Coloring" (2013, 10 citations), he introduced a novel method that leverages graph coloring to improve efficiency over traditional negotiation-based approaches like auctions. He further refined these techniques in "Improving combinatorial auctions for multi-robot exploration" (2013, 6 citations), demonstrating how to enhance solution optimality in dynamic environments. By tackling the computational complexity of multi-robot coordination, Cavalcante’s research helps enable more scalable and effective autonomous exploration, with applications in search-and-rescue, environmental monitoring, and planetary exploration. His work is a valuable resource for students and researchers interested in the intersection of robotics, distributed systems, and combinatorial optimization.
Research Focus
Key Achievements
Top Papers
- 1A Multi-robot Exploration Approach Based on Distributed Graph Coloring10 citations · 2013
- 2Improving combinatorial auctions for multi-robot exploration6 citations · 2013