S. P. Arjun Ram

Birla Institute of Technology and Science, Pilani

Papers

Total Citations

H-Index

About

S. P. Arjun Ram is a leading researcher in multi-robot systems, with a primary focus on autonomous coordination, coverage algorithms, and workspace partitioning. His most influential work introduces the "Cluster, Allocate, Cover" algorithm, a groundbreaking approach for online multi-robot coverage that operates with minimal environmental knowledge. By clustering frontier cells and assigning them to robots through optimal assignment schemes, this method significantly enhances efficiency in unknown terrains—a contribution that has garnered 15 citations and is foundational for search-and-rescue and exploration robotics. Ram further advanced the field by addressing a critical limitation of Voronoi-based partitioning: workload imbalance. His 2017 paper on balanced workspace partitioning proposes a novel method to create equitable regions for individual robots, ensuring uniform task distribution and reducing idle time. This work, with 10 citations, directly improves coordination in large-scale multi-robot deployments. Together, these contributions demonstrate Ram’s impact on practical robotics, offering scalable solutions for real-world coverage challenges. His research is essential reading for students and engineers designing autonomous teams for agriculture, surveillance, or disaster response, where efficient, adaptive coverage is paramount.