Arindam Pal

Tata Consultancy Services (India), Commonwealth Scientific and Industrial Research Organisation

Papers

Total Citations

101

H-Index

About

Arindam Pal is a leading researcher in multi-robot systems, with a primary focus on task allocation and coordination algorithms. His work addresses critical challenges in deploying robot teams for complex, real-world operations, particularly in logistics and warehouse automation. Pal’s most influential contribution is his 2018 paper on a scalable multi-robot task allocation algorithm, which has garnered 58 citations. This work tackles the computationally hard problem of assigning tasks to robots while simultaneously planning optimal routes to minimize total travel cost—a key bottleneck in modern fulfillment centers. He further solidified his expertise with a comprehensive 2022 survey on task allocation using robot teams (43 citations), which systematically categorizes problem variants and solution approaches, serving as a vital resource for researchers in robotics, computer science, and operational research. Through his research, Pal has advanced the practical deployment of multi-robot systems, enabling more efficient and scalable automation in dynamic environments.