Mansoor Davoodi

Institute for Advanced Studies in Basic Sciences, Information Technology Institute, Institute for Research in Fundamental Sciences

Papers

Total Citations

191

H-Index

About

Mansoor Davoodi is a leading researcher in algorithmic robotics and multi-objective optimization, with a particular focus on path planning in discrete and grid-based environments. His work addresses the fundamental challenge of enabling autonomous systems to navigate complex spaces efficiently while balancing competing objectives such as path length, safety, and time. His 2012 paper on multi-objective path planning in discrete space, with 91 citations, established foundational methods for generating Pareto-optimal routes. He further advanced the field with his 2015 study on clear and smooth path planning (65 citations), which introduced algorithms that produce not only short but also navigable and obstacle-avoiding trajectories. Davoodi has also made significant contributions to multi-robot coordination, including optimal algorithms for two-robot path planning on grids (2013) and a recent study (2021) that determines the minimum number of robots required to explore a rectangular grid within a bounded time. His work is widely cited for its rigorous deterministic approach, providing practical solutions for robotics, autonomous navigation, and search-and-rescue operations.