S.A. Masoud

Jordan University of Science and Technology, University of Cincinnati

Papers

Total Citations

183

H-Index

About

S.A. Masoud is a pioneering researcher in the field of robotic motion planning and control, with a particular focus on developing safe, efficient navigation strategies using potential field theory. His most influential work, "Constrained motion control using vector potential fields" (2000), has garnered 99 citations and introduces a groundbreaking approach to generating control signals that guide robotic manipulators along collision-free, well-behaved paths to desired targets. This work established a foundational framework for navigation control that remains influential in robotics. Building on this, Masoud's 2002 paper on "Robot navigation using a pressure generated mechanical stress field" (59 citations) proposed an innovative biharmonic potential field approach, drawing inspiration from mechanical stress distributions in homogeneous solids. This technique uniquely generates smooth paths free from sharp turns, addressing a critical limitation in conventional potential field methods. His subsequent work on "Evolutionary action maps" (25 citations) extended these concepts to unknown, multidimensional environments, creating a complete path planner for agents of arbitrary shape operating without prior environmental knowledge. Masoud's contributions have significantly advanced the theoretical and practical foundations of autonomous robot navigation, particularly in constrained and uncertain environments.