Jan-Marc Reinhardt

Papers

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About

Jan-Marc Reinhardt is a researcher whose work lies at the intersection of swarm robotics, control theory, and biomedical engineering. His primary research focus is on developing efficient strategies for the collective behavior of under-actuated particle swarms, particularly in constrained environments. Reinhardt’s most notable contribution is his 2016 paper on “Collecting a swarm in a grid environment using shared, global inputs,” which has garnered 14 citations. This work addresses a critical challenge in targeted drug delivery: how to steer micro-scale particles to a specific goal location using minimal external control. By demonstrating that a swarm can be concentrated even in the presence of obstacles using only shared, global inputs, Reinhardt’s research offers a scalable and practical solution for medical applications. His work bridges the gap between theoretical swarm intelligence and real-world healthcare needs, making him a key figure in the development of autonomous micro-robotic systems. For students and researchers, Reinhardt’s contributions highlight the power of simple, global controls to solve complex, localized problems in swarm robotics.