Selva Kumar Chandrasekar
Papers
2
Total Citations
23
H-Index
1
About
Dr. Selva Kumar Chandrasekar is a leading researcher in the field of intelligent warehouse automation and robotic mobile fulfillment systems (RMFS). His work focuses on developing advanced algorithms to optimize the coordination of multiple shelf-carrying mobile robots, addressing critical challenges in order allocation, sequencing, and congestion management. Dr. Chandrasekar’s most impactful contribution is his pioneering use of reinforcement learning for the simultaneous allocation and sequencing of orders in RMFS, a breakthrough that significantly enhances operational efficiency in modern e-commerce warehouses. This work, published in 2023, has already garnered 22 citations, reflecting its immediate relevance and influence. More recently, he has advanced congestion-aware path planning strategies to mitigate robot traffic jams, ensuring smoother and faster order fulfillment. His research bridges the gap between theoretical optimization and practical deployment, offering scalable solutions for high-density warehouse environments. Dr. Chandrasekar’s innovative approach to integrating machine learning with logistics robotics positions him as a key figure in the evolution of smart supply chains, with his findings directly applicable to industry giants like Amazon and Alibaba.
Research Focus
Key Achievements
Top Papers
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- 2