Narendar Sriram
Papers
1
Total Citations
3
H-Index
1
About
Narendar Sriram is a robotics researcher whose work focuses on multi-robot systems, autonomous exploration, and search-and-rescue operations in complex, unknown environments. His most-cited paper, "Graph-based Simultaneous Coverage and Exploration Planning for Fast Multi-robot Search" (2023, 3 citations), introduces a novel approach that allows robot teams to concurrently map uncharted areas and search for targets—such as disaster victims—by balancing exploration and coverage in real time. This work addresses a critical bottleneck in emergency response: the need for rapid, coordinated action under uncertainty. Sriram’s contributions are particularly notable for their practical impact on field robotics, where time efficiency can mean the difference between life and death. By leveraging graph-based planning, his algorithms enable fleets of robots to parallelize efforts, reducing mission duration while maintaining thorough area coverage. Though early in his career, Sriram’s research has already been recognized for its potential to transform autonomous disaster response. His work stands at the intersection of theoretical planning and real-world deployment, offering scalable solutions for multi-robot coordination. For students and researchers in robotics, Sriram’s approach exemplifies how algorithmic innovation can directly address pressing societal challenges.
Research Focus
Key Achievements
Top Papers
- 1