Toolika Arora

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About

Toolika Arora is a robotics researcher whose work focuses on intelligent path planning and navigation for autonomous mobile robots operating in complex, dynamic environments. Her most-cited paper, "Robotic Path Planning using Genetic Algorithm in Dynamic Environment" (2014, 31 citations), introduces a novel approach that applies genetic algorithms at specific points in the problem space rather than the entire environment, enabling efficient, real-time route adaptation. This contribution addresses a critical challenge in robotics: enabling machines to safely and effectively navigate unpredictable surroundings. Arora’s research bridges computational intelligence and practical robotics, offering scalable solutions for applications ranging from warehouse logistics to search-and-rescue operations. Her work is recognized for its methodological innovation, demonstrating how evolutionary algorithms can be strategically deployed to reduce computational overhead while maintaining robust performance. With 31 citations on her seminal paper, Arora has established a foundation for further exploration in adaptive robotic systems. Her achievements highlight the potential of combining bio-inspired algorithms with real-world robotics, making her a notable voice in the field of autonomous navigation and intelligent control systems.