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About

Pratik Mukherjee is a leading researcher in the field of multi-robot systems, with a primary focus on the challenges of coordinating robot teams that rely on onboard sensors with limited fields of view (FOV). His work addresses the fundamental problem of asymmetric interactions that arise when robots can only see a portion of their environment, a critical issue for applications like unmanned aerial vehicle (UAV) swarms. Mukherjee’s major contributions include developing adaptive decentralization algorithms for FOV control, establishing frameworks for optimal topology selection to ensure stable coordination, and pioneering distributed, resilient control methods that can reject sensor attacks while autonomously tuning interaction gains. His most cited work, "Multirobot Field of View Control With Adaptive Decentralization" (2022, 21 citations), lays the groundwork for scalable coordination in these challenging scenarios. He has also validated his theoretical findings through experimental work on a portable multi-robot testbed, bridging the gap between theory and practice. With a growing body of work that tackles both stability and security in multi-robot systems, Mukherjee is shaping the future of autonomous, sensor-driven robot teams.