Danial PourArab

Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie

Papers

Total Citations

H-Index

About

Danial PourArab is a researcher focused on advancing autonomous systems in agriculture, with a particular emphasis on robotic navigation and precision farming. His most-cited work, "Complete Coverage Path Planning for wheeled agricultural robots" (2022), addresses a critical challenge in the field: enabling wheeled robots to efficiently and autonomously cover entire fields for tasks such as harvesting, mowing, and spraying. This paper, with 3 citations, lays foundational groundwork for improving the efficiency and reliability of agricultural robots, aiming to reduce human labor and optimize resource use. PourArab’s contributions lie in developing path planning algorithms that ensure complete field coverage while minimizing redundant travel, a key step toward practical, large-scale deployment of autonomous farming systems. His research bridges robotics and agronomy, offering solutions that enhance productivity and sustainability in modern agriculture. As the field evolves, PourArab’s work continues to influence the design of intelligent, wheeled agricultural robots, making him a notable emerging voice in precision agriculture and autonomous vehicle navigation.