James R. Heselden
Papers
7
Total Citations
50
H-Index
4
About
James R. Heselden is a robotics researcher whose work sits at the intersection of multi-robot systems, autonomous navigation, and precision agriculture. His research addresses some of the most pressing challenges in deploying robotic fleets at scale, from coordinating efficient path planning across multiple agents to enabling reliable localization in complex real-world environments. Heselden's most cited contribution, "Applications of Robotic and Solar Energy in Precision Agriculture and Smart Farming" (2022, 24 citations), reflects his commitment to sustainable, technology-driven agricultural solutions. His extensive literature review on heuristics and rescheduling in prioritized multi-robot path planning (2023, 14 combined citations) has become a valuable reference for researchers tackling deadlock avoidance and efficiency in warehouse and agricultural robotics. His development of the CRH* framework offers a scalable, deadlock-free approach to multi-robot coordination, while his unified topological representation for agricultural robotic fleets addresses the system integration complexity that continues to hinder widespread deployment. More recently, Heselden has advanced robot localization through his Enhanced STag Marker System, offering greater flexibility in fiducial marker design for autonomous mobile robots. His growing body of work positions him as an emerging voice in agricultural robotics and intelligent multi-robot systems research.
Research Focus
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Top Papers
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