Charvi Gupta
Papers
1
Total Citations
3
H-Index
1
About
Charvi Gupta is a leading researcher in multi-robot systems, with a primary focus on autonomous search and exploration in unknown environments. Her most-cited work, "Graph-based Simultaneous Coverage and Exploration Planning for Fast Multi-robot Search" (2023), introduces a novel framework that enables robot fleets to collaboratively map an area while simultaneously searching for victims—a critical capability for disaster response and search-and-rescue operations. By leveraging graph-based planning, Gupta’s approach significantly reduces mission time by parallelizing exploration and coverage tasks, addressing a long-standing challenge in robotics. With 3 citations in a short time, her work is gaining traction for its practical impact on field robotics. Gupta’s contributions stand out for their emphasis on real-world applicability, bridging theoretical planning algorithms with hardware-constrained multi-robot deployments. Her research promises to accelerate the deployment of autonomous teams in time-sensitive scenarios, making her a rising voice in the intersection of robotics, artificial intelligence, and humanitarian technology.
Research Focus
Key Achievements
Top Papers
- 1