Papers
3
Total Citations
19
H-Index
3
About
Utkarsh Sharma’s research bridges robotics and artificial intelligence, with a primary focus on optimizing robotic grasping and exploring AI’s transformative role in the food industry. His most impactful work centers on enhancing grasp quality for dexterous robotic hands on three-dimensional objects. Sharma pioneered the use of a modified genetic algorithm to solve the complex, non-linear problem of force-closure grasp synthesis, offering a meta-heuristic approach that improves both the stability and adaptability of multi-fingered robot hands. This foundational work, published in 2015 and 2016, has garnered a combined 15 citations, establishing a niche in automated manipulation. More recently, Sharma has turned his attention to the applied potential of AI and machine learning in food production, processing, and packaging, highlighting how intelligent systems can revolutionize an industry critical to global supply chains. His 2022 paper on this topic, already cited 4 times, underscores his ability to translate complex computational methods into real-world industrial solutions. Through this dual focus—from optimizing robotic dexterity to modernizing food systems—Sharma demonstrates a clear trajectory from algorithmic innovation to impactful application, marking him as a researcher attentive to both theoretical depth and practical relevance.
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