J. Dhanasekar

Papers

Total Citations

H-Index

About

J. Dhanasekar is a dynamic robotics and automation researcher whose work bridges intelligent systems, precision agriculture, and industrial robotics. With a growing body of contributions spanning path planning algorithms, robotic arm design, and neuromorphic computing, Dhanasekar has established himself as a versatile innovator in applied robotics engineering. His most impactful work focuses on optimizing agricultural robotics through computational intelligence. His 2021 study introducing the Hybrid Dragonfly–Cuckoo Search Algorithm for agricultural spraying robots — garnering 9 citations — addressed one of precision farming's most persistent challenges: efficient, collision-free path coverage for autonomous field operations. Complementing this, his early exploration of vision-based farming robots (2019) laid foundational groundwork for autonomous agricultural systems. In industrial contexts, Dhanasekar's research on articulated robotic arms for material handling demonstrates a practical commitment to improving manufacturing efficiency through high-accuracy automation, earning 7 citations. Perhaps most forward-looking is his 2023 investigation into Spiking Neural Networks for robotic applications, positioning him at the frontier of biologically inspired AI and next-generation robot intelligence. Collectively, his 23+ citations reflect a researcher steadily building influence across robotics subfields, making his work particularly valuable for students exploring smart automation and agricultural technology.