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About

Arun Mahadev’s research lies at the intersection of swarm robotics, control theory, and biomedical engineering, with a focus on steering large populations of micro-scale particles using minimal, global control inputs. His work addresses a fundamental challenge: how to coordinate swarms of simple, under-actuated agents—lacking onboard computation or communication—to perform complex tasks. Mahadev’s major contributions include developing algorithms for efficiently collecting, concentrating, and shaping particle swarms in grid environments, often by exploiting interactions with boundary walls and obstacles. These methods have direct applications in targeted drug delivery, where magnetic particles must be guided through the body to a precise location. His most cited paper, “Collecting a swarm in a grid environment using shared, global inputs” (14 citations), demonstrates how to overcome obstacles to concentrate a swarm, a critical step for medical microrobotics. Other notable works extend these ideas to mapping tissue and vascular systems without contrast agents, and to creating stable swarm configurations using boundary interactions. Mahadev’s research is pioneering in its use of uniform, shared inputs to achieve sophisticated collective behavior, offering scalable solutions for healthcare, environmental monitoring, and micro-assembly.