Alireza Davoodi

University of British Columbia, Simon Fraser University

Papers

Total Citations

135

H-Index

About

Alireza Davoodi is a robotics researcher whose work has made significant contributions to the field of multi-robot systems, particularly in the domain of autonomous area coverage. His research focuses on developing algorithms that enable teams of robots to efficiently and cooperatively cover target environments, even under practical constraints such as limited visibility range and the presence of static obstacles. Davoodi's most influential work, "Multi-robot repeated area coverage" (2013), has garnered 62 citations, establishing him as a key voice in cooperative robotics. His complementary 2010 paper, "Complete and robust cooperative robot area coverage with limited range," with 52 citations, introduced a novel guard-based approach to systematic area coverage that has proven both theoretically rigorous and practically applicable. His research consistently addresses real-world constraints by assuming robots possess only limited visual ranges, making his solutions more deployable in genuine operational settings. Beyond static coverage, Davoodi extended his work to repeated area coverage scenarios, introducing distributed cluster-based algorithms that optimize performance across varying visual ranges. Collectively, his publications have accumulated over 130 citations, reflecting meaningful influence within the robotics and autonomous systems research community and providing valuable foundations for students and engineers designing multi-robot coordination systems.