Meghan Chandarana

Papers

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About

Meghan Chandarana is a leading researcher in the field of decentralized multi-robot systems, with a primary focus on robot swarms, human-swarm interaction, and resilient swarm control. Her work addresses critical challenges in deploying reliable, autonomous swarms in real-world environments. Chandarana’s major contributions include pioneering a "Trust-Aware Behavior Reflection" mechanism for swarm self-healing, which enables swarms to autonomously detect and compensate for faulty robots caused by sensor failure or environmental disturbances—a foundational step toward robust, real-world deployment. She also developed a decentralized method for sub-swarm deployment and rejoining, allowing teams of robots to temporarily detach for specialized tasks and seamlessly reintegrate, dramatically improving mission efficiency. Additionally, her innovative work on multi-operator gesture control using wearable devices has advanced intuitive human-swarm interfaces, enabling more natural and scalable command of collective behaviors. Her most impactful paper, "Trust-Aware Behavior Reflection for Robot Swarm Self-Healing," has garnered 19 citations, reflecting its influence on the field. Chandarana’s research is essential reading for anyone interested in building fault-tolerant, human-guided swarms capable of complex, real-world missions.