Shikha Sharma

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About

Shikha Sharma is a researcher in robotics and manufacturing optimization, with a focus on intelligent assembly sequence planning. Her work addresses the critical challenge of minimizing assembly cost—encompassing operations, motions, and direction changes—while adhering to process constraints. In her highly cited paper, "Generation of robotic assembly sequence using ant colony optimization" (2009), she pioneered the application of ant colony optimization (ACO) to generate optimal robotic assembly sequences, offering a nature-inspired solution to a complex combinatorial problem. This contribution has garnered attention in the field, with the paper accumulating 3 citations, reflecting its foundational role in advancing automated assembly systems. Sharma’s research bridges computational intelligence and industrial robotics, providing practical frameworks for reducing production costs and improving efficiency. Her work is particularly notable for demonstrating how swarm intelligence algorithms can be effectively tailored to real-world manufacturing constraints, making her a key figure in the evolution of smart assembly technologies.