A. Durand Petiteville
Université Fédérale de Toulouse Midi-Pyrénées, Université Toulouse III - Paul Sabatier
Papers
3
Total Citations
12
H-Index
3
About
A. Durand Petiteville is a robotics researcher specializing in vision-based navigation and autonomous mobile robot control. Their work addresses the complex challenge of enabling non-holonomic robots to navigate safely and effectively through cluttered, obstacle-rich environments — a fundamental problem in autonomous systems research. Their most notable contributions center on the development and comparison of multi-sensor control architectures that coordinate multiple specialized controllers, handling nominal navigation, obstacle bypassing, and occlusion avoidance simultaneously. A key thread running through their research is the use of 2D visual servoing — a technique that synthesizes robot motion directly from image-plane data — applied to long-range navigation tasks where maintaining reliable visual information is particularly demanding. Durand Petiteville has explored multiple sequencing strategies for switching between controllers, contributing valuable comparative analyses that help clarify which approaches best balance safety and task performance in real-world conditions. Their 2012 paper on multi-sensor navigation in cluttered environments stands as their most cited work, accumulating 6 citations, with additional contributions published in both English and French, reflecting engagement with international and Francophone research communities. Their body of work offers practical insights relevant to service robotics, autonomous vehicles, and any domain requiring robust indoor or outdoor robot navigation.
Research Focus
Key Achievements
Top Papers
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