Max Robotics — Global Service Robot Directory + US Certification

About

Yuri Tavares dos Passos is a researcher focused on the critical challenge of traffic congestion in robotic swarms, particularly when multiple robots must navigate to a common target area. His work addresses a fundamental bottleneck in swarm robotics: as the number of robots increases, so does the risk of gridlock, which can severely degrade mission performance. Dos Passos’s major contributions include proposing novel congestion control algorithms and introducing key performance metrics such as the “maximum target area throughput,” which quantifies how efficiently a swarm can access a shared destination. His most-cited paper, “Avoiding target congestion on the navigation of robotic swarms” (2016), has garnered 24 citations, establishing a foundation for decentralized traffic management strategies. Subsequent works from 2022, each with 5–10 citations, further refine these ideas by modeling swarm behavior and evaluating throughput under increasing robot density. By systematically defining and measuring access efficiency, dos Passos provides essential tools for designing scalable, congestion-aware swarm systems—a crucial step toward deploying large robot teams in real-world applications like search-and-rescue, warehouse logistics, and environmental monitoring.