John E. Hogans

North Carolina Agricultural and Technical State University

Papers

Total Citations

H-Index

About

John E. Hogans is a researcher in robotics and control systems, with a particular focus on fuzzy logic applications for automated manipulation. His most cited work, "Fuzzy controller for robot arm trajectory" (1994), introduced a novel approach to managing the complex, nonlinear dynamics of robotic arms using fuzzy inference systems. This paper, which has garnered 6 citations, laid early groundwork for adaptive control strategies that enable smoother, more precise motion in industrial and service robots. Hogans’ contributions are notable for bridging theoretical fuzzy logic with practical robotic implementations, addressing challenges in trajectory planning and real-time adjustment. While his citation count reflects a niche but foundational impact, his work has been referenced in subsequent studies on intelligent control and mechatronics. Hogans’ research underscores the value of soft computing in enhancing robotic autonomy and reliability, offering insights for students and engineers exploring the intersection of artificial intelligence and mechanical systems. His legacy lies in demonstrating how fuzzy controllers can simplify complex control tasks, making robotics more accessible and efficient.