K. Ramalingeswara Prasad

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About

K. Ramalingeswara Prasad is a leading researcher in the intersection of robotics, artificial intelligence, and control systems, with a particular focus on intelligent navigation for autonomous mobile robots. His most impactful work, "Design of mobile robot navigation controller using neuro-fuzzy logic system" (2022), has garnered 67 citations, establishing him as a key contributor to the development of adaptive, hybrid control architectures. Prasad’s major contribution lies in integrating neural networks with fuzzy logic to create robust navigation controllers that enable robots to operate effectively in dynamic, unstructured environments—a critical advancement for applications in industrial automation, search-and-rescue, and service robotics. His research demonstrates how neuro-fuzzy systems can overcome the limitations of traditional control methods by learning from sensor data while maintaining interpretability. Beyond this landmark paper, Prasad has published extensively on sensor fusion, path planning, and real-time obstacle avoidance, with his work collectively cited hundreds of times. He is recognized for bridging theoretical control theory with practical robotic implementations, making his research highly relevant for students and engineers working on autonomous systems. Prasad’s contributions continue to influence the next generation of intelligent, self-navigating robots.