Remzi Arpaci

Papers

Total Citations

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About

Remzi Arpaci is a researcher whose work lies at the intersection of robotics, computer vision, and intelligent systems, with a particular focus on spatial perception and autonomous navigation. His most cited paper, "Model-driven pose correction" (2003, 11 citations), introduces a novel approach to maintaining a robot's instantaneous awareness of its position and orientation—a critical challenge for tasks ranging from exploration to manipulation. In this work, Arpaci proposes a system where pre-existing models actively guide sensory interpretation, enabling real-time correction of pose expectations. This model-driven strategy reduces reliance on noisy sensor data alone, offering a more robust framework for robot localization. Though his citation count reflects a focused, niche contribution, the conceptual elegance of using models to bridge perception and action has influenced subsequent work in adaptive robotics. Arpaci’s research underscores the importance of integrating prior knowledge with real-time sensing, a principle that continues to shape modern autonomous systems. His contributions are particularly relevant for students and engineers developing navigation algorithms for dynamic, unstructured environments.