Ridhi Bansal

University of Nottingham, University of Bristol

Papers

Total Citations

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About

Dr. Ridhi Bansal is a leading researcher at the intersection of industrial robotics, artificial intelligence, and advanced manufacturing, with a specific focus on enabling the dynamic, adaptive factories of Industry 4.0. Her work is distinguished by its practical application of sophisticated optimization algorithms to solve real-world manufacturing challenges. Dr. Bansal’s most cited paper, “Ant Colony Optimization Algorithm for Industrial Robot Programming in a Digital Twin” (2019, 27 citations), pioneered a novel approach to robotic programming. By integrating machine learning with digital twin technology, she demonstrated how robots can autonomously adapt to constantly changing product designs, a critical step toward truly flexible manufacturing. Her subsequent work, “XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications” (2020, 9 citations), further advanced this field by developing a new, robust optimization method tailored for complex industrial processes. Through these contributions, Dr. Bansal is helping to bridge the gap between theoretical AI and tangible factory-floor automation, making her a key voice in the evolution of smart manufacturing.