Rajani Kumari

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About

Rajani Kumari is a prominent researcher in the field of robotics and computational intelligence, with a primary focus on path planning and optimization algorithms. Her most-cited work, "Robot Path Planning Using Modified Artificial Bee Colony Algorithm" (2019), has garnered 36 citations, establishing her as a key contributor to swarm intelligence-based navigation systems. Kumari’s major contribution lies in enhancing the Artificial Bee Colony algorithm to address complex, real-world robotic path planning challenges, improving efficiency and obstacle avoidance in dynamic environments. Her research bridges the gap between nature-inspired metaheuristics and practical autonomous navigation, offering scalable solutions for industrial and service robotics. Beyond this seminal paper, Kumari has explored multi-objective optimization and adaptive control, further solidifying her impact in the field. Her work is widely recognized for its practical applicability, influencing subsequent studies in mobile robot autonomy and algorithm hybridization. With a growing citation footprint, Rajani Kumari continues to shape the intersection of artificial intelligence and robotics, inspiring students and researchers to advance intelligent systems for real-world deployment.