Kevin Scrivnor

California State University, Channel Islands

Papers

Total Citations

H-Index

About

Kevin Scrivnor is a researcher in multi-robot systems and bio-inspired swarm intelligence, with a focus on decentralized coordination and resource gathering. His most cited work, "Multimodal Central Place Foraging" (2018, 3 citations), introduces a novel approach that partitions search spaces and assigns agents multiple behavioral roles inspired by honey bee colonies, enabling efficient foraging and resource collection in multi-robot systems. This contribution advances the understanding of how simple, local interactions can achieve complex global tasks, bridging the gap between biological models and robotic implementations. Scrivnor’s research has implications for environmental monitoring, disaster response, and autonomous exploration, where robust, scalable swarm behaviors are critical. Though his citation count is modest, his work is foundational for researchers exploring central place foraging in robotics, offering a clear framework for integrating multimodal strategies into real-world applications. His achievements include developing algorithms that enhance coordination without centralized control, a key challenge in swarm robotics. Scrivnor’s contributions are particularly valuable for students and researchers seeking to design efficient, bio-inspired systems for autonomous resource management.