Caleb Whitehead

Papers

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About

Caleb Whitehead’s research lies at the intersection of swarm robotics and control theory, with a focus on how distributed robot collectives can cooperatively manipulate larger, parent systems. His most cited work, “Using abstraction for swarm control of a parent system” (2016), introduces a novel framework where individual robots in a swarm coordinate not only among themselves but also to influence the dynamics of a higher-level system—such as a robotic arm or a vehicle—through abstraction techniques. This approach bridges micro-level swarm behavior with macro-level system control, enabling scalable and robust manipulation tasks in both ground and aerial domains. While his citation count is modest, Whitehead’s contributions are foundational in exploring hierarchical swarm control, offering a theoretical basis for future work in cooperative robotics. His research is particularly relevant for applications in search-and-rescue, environmental monitoring, and autonomous construction, where swarms must interact with and steer larger platforms. Whitehead’s work exemplifies how abstraction can simplify complex swarm dynamics, making it a valuable reference for students and researchers interested in multi-agent systems and decentralized control.