Vitor Gaboardi dos Santos
Instituto Federal do Rio Grande do Norte, Universidade Federal do Rio Grande do Norte
Papers
2
Total Citations
10
H-Index
2
About
Vitor Gaboardi dos Santos is a robotics researcher whose work centers on safe and efficient path planning for autonomous systems, with a particular focus on the innovative Probabilistic Foam Method (PFM). His major contribution lies in developing planning algorithms that guarantee safety by constructing sequences of "bubbles"—spherical regions that define collision-free spaces in the configuration space. In his most-cited work, "Safe Path Planning Algorithms for Mobile Robots Based on Probabilistic Foam" (2021, 8 citations), Santos demonstrated how PFM can reliably produce bounded, safe paths for single robots navigating complex environments. He extended this foundation to multi-robot systems in "A Multi-Robot Path Planning Approach Based on Probabilistic Foam" (2019, 2 citations), addressing the challenge of coordinating multiple agents in static obstacle fields by leveraging spatial topology. While his citation counts are still growing, Santos's contributions are notable for introducing a rigorous, geometry-driven safety guarantee into path planning—a critical advancement for real-world autonomous navigation. His work bridges theoretical guarantees with practical applicability, making it a valuable reference for researchers developing reliable mobile robot systems in cluttered or constrained settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Multi-Robot Path Planning Approach Based on Probabilistic Foam2 citations · 2019