Gaurav Parekh

Papers

Total Citations

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About

Gaurav Parekh is a researcher whose work bridges robotics, computer vision, and human-robot interaction, with a particular focus on enabling robots to understand and interpret spatial information from natural, human-like inputs. His most cited paper, "Scene Matching between a Map and a Hand Drawn Sketch Using Spatial Relations" (2007, 17 citations), introduces a novel method for determining object correspondence between a sketched map and an occupancy grid map built by a robot. By leveraging spatial relations rather than precise geometric matching, Parekh’s approach allows robots to interpret hand-drawn sketches—a key step toward more intuitive human-robot communication. This work contributes to the broader challenge of spatial reasoning in autonomous systems, where robots must align abstract human representations with their own sensor-derived maps. While his citation count reflects a focused, early-career impact, the conceptual innovation of his method has influenced subsequent research in sketch-based navigation and spatial language understanding. Parekh’s contributions are notable for their emphasis on making robot perception more accessible and aligned with human cognitive processes, a theme that resonates in modern human-robot interaction and assistive robotics.