Shashank Shekhar

Narendra Dev University of Agriculture and Technology, Oak Ridge National Laboratory

Papers

Total Citations

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About

Shashank Shekhar is a multidisciplinary researcher whose work spans two compelling and distinct domains: robotics and artificial intelligence-driven agriculture. His early contributions focused on the fundamental mechanics of mobile robotics, most notably his 2002 work on wheel rolling constraints and slip, in which he rigorously demonstrated that wheel slip is mathematically inevitable under dynamic motion models — a finding that challenged the then-common reliance on dead reckoning for mobile robot positioning and orientation. This work helped redirect the robotics community toward more robust localization strategies. More recently, Shekhar has turned his attention to the intersection of artificial intelligence and precision agriculture, exploring how AI of Things (AIoT) technologies can be deployed to optimize farming practices, resource management, and crop yield prediction. His 2024 paper on this subject highlights both the transformative potential and the significant implementation challenges facing this emerging field, reflecting his ability to critically assess cutting-edge technologies. With citations spanning over two decades of research, Shekhar demonstrates a rare intellectual range — bridging classical robotics theory and modern smart agriculture innovation — making his work valuable to students and researchers across engineering, computer science, and agricultural technology alike.