Alain Beaulieu
Papers
8
Total Citations
116
H-Index
6
About
Alain Beaulieu is a robotics researcher whose work sits at the intersection of autonomous systems, 3D environmental mapping, and model-driven software development. His most significant contributions center on multirobot mapping, where he pioneered robust techniques for merging octree-based 3D occupancy grid maps — methods that allow teams of robots to independently survey environments and combine their data into a unified global representation. His 2015 paper on this topic has garnered 38 citations, making it his most influential work, building on foundational research he published as early as 2013 and 2014. Beyond mapping, Beaulieu has applied autonomous robotics to real-world challenges, notably developing a fully autonomous inspection system for detecting defects in civil infrastructure — a contribution that earned 21 citations and speaks to his commitment to translating research into practical solutions. His work in model-driven development (MDD) further distinguishes him, demonstrating how principled software architecture can address complex timing, coordination, and swarm-control problems in robotic systems. He has also explored natural human-robot interfaces, reflecting a broad vision for accessible and deployable autonomous technologies. Across his career, Beaulieu's research has accumulated over 115 citations, establishing him as a meaningful contributor to applied autonomous robotics.
Research Focus
Key Achievements
Top Papers
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- 2Autonomous Robot System for Inspection of Defects in Civil Infrastructures21 citations · 2016
- 3Merging of octree based 3D occupancy grid maps20 citations · 2014
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