G. Harish

Hindustan Institute of Technology and Science

Papers

Total Citations

H-Index

About

G. Harish’s research focuses on the intersection of soft computing, robotics, and intelligent automation, with a particular emphasis on integrating neural networks and genetic algorithms for real-world problem-solving. His most cited work, “Neural networks and genetic algorithm based intelligent robot for face recognition and obstacle avoidance” (2013), has garnered 6 citations and introduces the Soft-i-Robot—a model that leverages soft computing paradigms to handle complex, ill-structured situations. This Internet-based security robot monitors its workspace using multimedia devices and sensors, controlled through an Internet application program, demonstrating a novel fusion of sensory subsystems and adaptive decision-making. Harish’s contributions lie in advancing the use of hybrid computational intelligence for autonomous systems, enabling robots to perform tasks like face recognition and obstacle avoidance in dynamic environments. While a related publication received a Notice of Violation of IEEE Publication Principles, his work nonetheless reflects an early exploration of combining neural networks with genetic algorithms for robotics, offering a foundation for subsequent research in intelligent automation. His efforts highlight the potential of soft computing to enhance robotic autonomy and security applications.