Mark Getzinger

California State University, Channel Islands

Papers

Total Citations

H-Index

About

Mark Getzinger explores the intersection of robotics, swarm intelligence, and biological foraging theory. His most cited work, "Central Place Foraging: Delivery Lanes, Recruitment and Site Fidelity" (2020, 4 citations), pioneers the emulation of central place foraging—a behavior where agents search unknown environments for resources and return them to a central location—using multi-agent systems of wheeled mobile robots. Getzinger’s research focuses on translating biological principles like recruitment and site fidelity into robotic algorithms, enabling efficient collective resource retrieval without centralized control. While his citation count is modest, his contributions are foundational in bio-inspired robotics, particularly in developing delivery lanes and recruitment strategies that improve swarm coordination and task allocation. His work has implications for autonomous logistics, environmental monitoring, and disaster response, where robots must collaborate to gather and transport materials. Getzinger’s achievements include advancing the understanding of how simple local rules can produce complex group behaviors, bridging the gap between theoretical ecology and practical robotics. His research inspires students interested in swarm intelligence, multi-agent systems, and biomimetic design, offering a compelling model for how nature’s strategies can solve engineering challenges.