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About

Tanmoy Kundu is a leading researcher in energy-aware autonomy for mobile robotics, focusing on the critical challenge of battery management in both single- and multi-robot systems. His work bridges formal methods and practical robotics, with a core emphasis on motion planning, charging infrastructure, and sustainable robot operation. His most influential paper, "Energy-Aware Temporal Logic Motion Planning for Mobile Robots" (22 citations), pioneers the use of Linear Temporal Logic (LTL) to synthesize mission plans that guarantee a robot never runs out of battery. This foundational work is complemented by his research on "Charging Station Placement for Indoor Robotic Applications" (15 citations), which addresses the efficiency gains from optimal station siting. Kundu has also advanced the field with studies on mobile recharger robots, including path planning and scheduling in multi-robot environments (8 citations) and SMT-based optimal deployment strategies (3 citations). His recent work on approximation algorithms for charging station placement (2023) further solidifies his reputation as a key contributor to scalable, energy-efficient robotic systems. Through these contributions, Kundu is shaping the future of long-duration autonomous operations.