Arijit Nandi
Papers
1
Total Citations
36
H-Index
1
About
Arijit Nandi is a leading researcher in multi-robot systems, artificial intelligence, and autonomous navigation. His work focuses on solving the complex challenge of coordinating multiple robots moving toward individual goals within shared environments, where individual gains can conflict with global efficiency. In his highly cited 2020 paper, "A Novel Hybrid Neural Network-Based Multirobot Path Planning With Motion Coordination," Nandi introduced an innovative hybrid neural network approach that balances local and global objectives, enabling smoother, collision-free motion for robot teams. With 36 citations, this work has become a key reference for researchers tackling multi-agent coordination. Nandi’s contributions are particularly valuable for applications in warehouse automation, search-and-rescue, and autonomous fleets, where efficient path planning is critical. His research continues to push the boundaries of intelligent robotics, offering practical solutions for real-world multirobot systems.
Research Focus
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Top Papers
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