Victoria Marie Tuck

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About

Victoria Marie Tuck is a robotics researcher whose work focuses on decentralized multi-agent systems, particularly in the domains of path planning and task allocation under real-world communication constraints. Her most-cited paper, "DEC-LOS-RRT" (2021, 6 citations), addresses a critical challenge in multi-robot coordination: enabling fleets of robots—such as those used in search-and-rescue missions—to plan paths autonomously when they can only communicate via line-of-sight. This work introduces a decentralized algorithm that ensures robust, collision-free navigation without relying on constant connectivity, a key limitation in GPS-denied or cluttered environments. Tuck’s more recent contribution, "SMT-Based Dynamic Multi-Robot Task Allocation" (2024, 2 citations), leverages satisfiability modulo theories to dynamically assign tasks to robots in real time, improving efficiency in fast-changing scenarios. Though early in her career, Tuck’s research is already shaping how autonomous systems operate in the field, bridging theoretical planning with practical communication constraints. Her work is particularly relevant for students and researchers interested in swarm robotics, distributed intelligence, and resilient multi-agent systems.