Jinsa Kuruvilla

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About

Jinsa Kuruvilla is a leading researcher in the field of intelligent robotics and autonomous navigation systems. Her work focuses on integrating neuro-fuzzy logic systems to enhance mobile robot control, enabling more adaptive and efficient navigation in complex environments. Her most-cited paper, "Design of mobile robot navigation controller using neuro-fuzzy logic system" (2022), has garnered 67 citations, establishing her as a key contributor to the development of hybrid artificial intelligence approaches for robotics. This work demonstrates how combining neural networks with fuzzy logic can improve real-time decision-making and obstacle avoidance in autonomous platforms. Kuruvilla’s research has significant implications for industrial automation, service robotics, and autonomous vehicles. Her contributions are widely recognized for bridging theoretical AI models with practical engineering solutions, making her a valuable resource for students and researchers exploring intelligent control systems.