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About

Yuanteng Pei is a leading researcher in multi-robot systems, with a core focus on real-time exploration, communication-aware coordination, and network infrastructure for remote sensing. His major contributions lie in addressing the critical, yet often overlooked, challenge of bandwidth constraints in time-sensitive multi-robot missions, such as search and surveillance. Pei pioneered the integration of connectivity and bandwidth awareness into exploration algorithms, enabling teams of robots to maintain robust communication links while streaming high-bandwidth video and audio to human operators. His work introduces innovative relay deployment strategies—including the "Steiner Traveler" and "STARS" frameworks—which optimize the placement of static and mobile relays to build a reliable networking backbone for remote sensing. With his most cited paper, "Coordinated multi-robot real-time exploration with connectivity and bandwidth awareness," garnering 52 citations, Pei’s research has laid the groundwork for practical, bandwidth-savvy multi-robot systems. His notable achievements include tackling the precedence constrained two traveling salesman problem (PC2TSP) to efficiently coordinate heterogeneous robots, demonstrating a blend of theoretical rigor and real-world applicability. For students and researchers, Pei’s work is essential reading for understanding how to bridge the gap between autonomous exploration and the communication constraints that define real-world deployment.