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About

Cheng-Heng Fua’s research lies at the intersection of multirobot systems, formation control, and decentralized task allocation. His most influential work introduces the concept of “queues and artificial potential trenches” for multirobot formations, a novel framework that replaces traditional node-based representations with queue vertices and potential fields to achieve scalable, flexible, and stable group coordination. This foundational paper has garnered 139 citations, underscoring its impact on the field. Fua further advanced multirobot coordination with the COBOS (Cooperative Backoff Adaptive Scheme), a decentralized task allocation method designed for heterogeneous robots operating under limited communication and uncertain conditions. COBOS is robust to robot failures and task ambiguity, earning 64 citations. His later work on the queue-formation structure (Q-structure) under limited communication, with 43 citations, addresses information flow across fast and slow time scales, enabling reactive local actions alongside global coordination. Collectively, Fua’s contributions have shaped how researchers design resilient, communication-constrained multirobot teams, making his work essential reading for those studying swarm robotics, formation control, and adaptive task allocation.