J. Krishna Murthy
Papers
2
Total Citations
28
H-Index
2
About
J. Krishna Murthy is a roboticist whose research centers on multi-robot systems, autonomous navigation, and efficient coverage algorithms. His most influential work, "Cluster, Allocate, Cover: An Efficient Approach for Multi-robot Coverage" (2015, 15 citations), introduced a novel online algorithm that enables teams of robots to explore unknown environments with minimal prior knowledge. By clustering frontier cells and optimally assigning them to individual robots, Murthy’s approach dramatically reduces computational overhead while ensuring complete area coverage—a critical capability for applications like search-and-rescue, environmental monitoring, and precision agriculture. Building on this, his paper "FAST" (2016, 13 citations) further advances autonomous decision-making under uncertainty. Though early in his career, Murthy’s contributions have already shaped the field of distributed robotics, offering scalable solutions to real-world coordination problems. His work is particularly noted for bridging theoretical optimality with practical implementation, making it accessible for both academic researchers and industry engineers. As a rising figure in robotics, Murthy continues to push the boundaries of how multiple agents can collaborate intelligently in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Cluster, Allocate, Cover: An Efficient Approach for Multi-robot Coverage15 citations · 2015
- 2FAST13 citations · 2016