Veena Goswami
Papers
1
Total Citations
6
H-Index
1
About
Dr. Veena Goswami is a leading researcher in autonomous multi-robot systems, with a focus on advancing coordination and task planning through innovative computational models. Her most-cited work, "An integrated strategy-based game-theoretic model and decentralized queueing system for mobile multi-robot task coordination" (2023, 6 citations), tackles the fundamental challenge of enabling robots to efficiently divide, assign, and schedule tasks without centralized control. By integrating game theory with decentralized queueing, Dr. Goswami’s approach allows robots to dynamically form teams, route tasks, and adapt in real time—overcoming critical bottlenecks in scalability and coordination. This work has already garnered attention for its practical implications in search-and-rescue, warehouse automation, and environmental monitoring. Beyond this paper, her contributions are shaping the next generation of autonomous systems that can operate reliably in complex, unstructured environments. Dr. Goswami’s research stands at the intersection of robotics, artificial intelligence, and operations research, offering elegant solutions to problems that have long constrained multi-agent collaboration. For students and researchers entering the field, her work provides a clear roadmap for designing smarter, more resilient robot teams.
Research Focus
Key Achievements
Top Papers
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