Christopher Vo

Papers

Total Citations

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About

Christopher Vo is a researcher whose work sits at the intersection of multi-agent robotics, motion planning, and bio-inspired swarm intelligence. His most cited paper, "Behavior-based motion planning for group control" (2009, 43 citations), tackles the underexplored "group control problem"—how external agents can plan and direct the motion of entire robot collectives in highly underactuated scenarios. This foundational work bridges a critical gap between traditional motion planning and multi-agent simulation. Vo further advances the field with "Collaborative foraging using beacons" (2010, 20 citations), where he proposes a sparse, practical alternative to physical pheromone deposits for robot communication—a clever solution to a classic coordination challenge in shared environments. His research also addresses dynamic, real-world constraints in "Following a Large Unpredictable Group of Targets among Obstacles" (2010). Collectively, Vo’s contributions provide scalable, behavior-based frameworks that enable robots to coordinate, communicate, and navigate in complex, obstacle-filled spaces. With over 67 combined citations, his work is a valuable resource for students and researchers interested in decentralized swarm control, bio-inspired algorithms, and practical multi-robot coordination.