Leandro Soriano Marcolino
Universidade Federal de Minas Gerais, University of Southern California, Lancaster University
Papers
7
Total Citations
118
H-Index
5
About
Leandro Soriano Marcolino is a leading researcher in swarm robotics, specializing in decentralized coordination and traffic control for multi-robot systems. His work addresses fundamental challenges in swarm navigation, particularly the problem of congestion when multiple robots attempt to reach the same target area simultaneously. Marcolino’s major contributions include developing distributed algorithms that prevent "target congestion" and "group conflicts" — situations where robots moving in opposite directions create gridlock. His seminal paper "No Robot Left Behind" (2008, 32 citations) introduced a method for swarms to navigate complex 2D shapes while overcoming local minima, using implicit functions and gradient descent. This work laid the foundation for his subsequent studies on traffic control, where he proposed novel throughput-based measures to evaluate and optimize access efficiency to common target areas (2022, 10 and 5 citations). His research has practical implications for real-world swarms operating in unknown environments, from search-and-rescue to warehouse logistics. By combining theoretical rigor with simulation-based validation, Marcolino has established himself as a key voice in making large-scale robotic swarms both efficient and collision-free.
Research Focus
Key Achievements
Top Papers
- 1
- 2Traffic control for a swarm of robots: Avoiding target congestion24 citations · 2009
- 3Avoiding target congestion on the navigation of robotic swarms24 citations · 2016
- 4Traffic control for a swarm of robots: Avoiding group conflicts20 citations · 2009
- 5
- 6On the Throughput of the Common Target Area for Robotic Swarm Strategies5 citations · 2022
- 7On the throughput of the common target area for robotic swarm strategies3 citations · 2022