Narek Harutyunyan
Papers
1
Total Citations
8
H-Index
1
About
Narek Harutyunyan is a robotics researcher whose work focuses on intelligent exploration and autonomous navigation in structured indoor environments. His most-cited paper, "MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions" (2025, 8 citations), addresses a critical challenge in robotics: how to efficiently explore unknown, yet predictable, indoor spaces. Harutyunyan’s key contribution lies in moving beyond conventional frontier-based methods, which struggle to exploit the repeating patterns common in buildings. Instead, he developed a probabilistic framework that uses global map predictions to quantify information gain, enabling robots to make smarter, more efficient exploration decisions. This approach has the potential to significantly improve the autonomy of service robots, search-and-rescue drones, and other systems operating in human-made environments. While early in his career, Harutyunyan’s work on MapEx has already garnered attention for its novel integration of prediction and information theory, marking him as an emerging leader in the field of robotic exploration and spatial intelligence.
Research Focus
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Top Papers
- 1