Papers
4
Total Citations
34
H-Index
3
About
Rahul Sawhney is a robotics researcher whose work lies at the intersection of multi-robot coordination, autonomous exploration, and 3D perception. His most influential contribution, "On fast exploration in 2D and 3D terrains with multiple robots" (18 citations), introduced an asynchronous exploration strategy that leverages a per-time visibility metric, demonstrating significant improvements over traditional synchronous methods—a foundational advance for time-critical search-and-rescue and mapping missions. In perception, Sawhney’s "GASP: Geometric Association with Surface Patches" (13 combined citations) tackles the fundamental data association problem across views using only range information, offering a robust, dense superpixel-matching solution that enhances SLAM and object recognition in unstructured environments. His work on multi-robot exploration with communication constraints (3 citations) further addresses the practical challenge of maintaining a fixed-base link through robot relays, blending exploration efficiency with network reliability. Though his citation counts reflect a focused, early-career impact, Sawhney’s contributions are notable for their practical, algorithmic clarity—particularly the asynchronous exploration metric and the GASP framework—which continue to inform modern autonomous systems research. His work exemplifies how elegant geometric reasoning and distributed coordination can solve real-world robotic challenges.
Research Focus
Key Achievements
Top Papers
- 1On fast exploration in 2D and 3D terrains with multiple robots18 citations · 2009
- 2GASP: Geometric Association with Surface Patches11 citations · 2014
- 3
- 4GASP : Geometric Association with Surface Patches2 citations · 2014