Daniel Opoku

North Carolina Agricultural and Technical State University

Papers

Total Citations

H-Index

About

Daniel Opoku is a researcher in robotics and artificial intelligence, with a primary focus on autonomous navigation and path planning algorithms. His most notable contribution is the development of the A-r-Star (Ar) Pathfinder, a novel variant of the classic A* algorithm introduced in his 2013 paper. This work addresses critical challenges in robot path planning by offering superior performance in uniformly gridded sparse environments while matching the efficiency of traditional methods in cluttered worlds. The algorithm’s simplicity and adaptability make it a practical tool for real-world robotic systems, bridging the gap between computational efficiency and navigational accuracy. Although his most-cited paper has garnered 4 citations, its conceptual innovation has laid groundwork for further exploration in heuristic search optimization. Opoku’s research underscores a commitment to refining foundational algorithms for autonomous systems, contributing to the broader field of intelligent robotics. His work is particularly relevant for students and researchers interested in efficient pathfinding solutions for mobile robots operating in diverse spatial configurations.