Himadri Sekhar Paul
Papers
2
Total Citations
89
H-Index
2
About
Himadri Sekhar Paul is a robotics researcher whose work lies at the intersection of multi-robot coordination and industrial automation. His key research areas include task allocation, route planning, and robotic manipulation for logistics and manufacturing. Paul’s most influential contribution is a scalable multi-robot task allocation algorithm (2018, 58 citations), which addresses the challenge of minimizing travel distance in warehouse environments where robots must fetch and deliver objects to a docking station. This work is critical for modern e-commerce and logistics operations. He also developed Jampacker (2020, 31 citations), a reliable and efficient robotic bin packing system for cuboid objects, featuring a novel offline 3D bin packing algorithm called Jampack that achieves superior packing efficiency. This system is directly relevant to Industry 4.0 and automated warehousing. With over 89 citations across his top papers, Paul’s research has practical implications for reducing operational costs and improving throughput in automated warehouses. His contributions bridge the gap between theoretical optimization and real-world robotic deployment, making his work valuable for students and researchers interested in multi-agent systems, logistics robotics, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1A Scalable Multi-Robot Task Allocation Algorithm58 citations · 2018
- 2