Kourosh Neshatian

University of Canterbury, Victoria University of Wellington

Papers

Total Citations

H-Index

About

Kourosh Neshatian is a researcher at the intersection of artificial intelligence, robotics, and precision agriculture, with a particular focus on developing intelligent autonomous systems for complex real-world tasks. His work addresses fundamental challenges in multi-agent coordination and machine learning, aiming to create practical, cost-effective automation solutions for industries like agriculture. Neshatian’s most cited paper, "A hybrid control multi-agent cooperative system for autonomous bin transport during apple harvest" (2018, 5 citations), introduces a novel framework for coordinating multiple robots in dynamic, unstructured environments—tackling issues of entangled tasks, challenging terrain, and cost constraints. This work demonstrates his commitment to bridging the gap between theoretical AI and field-deployable robotics. Additionally, his research in evolutionary computation, exemplified by "Genetic programming for evolving programs with loop structures for classification tasks" (2011, 2 citations), explores how to enhance the expressiveness of genetic programming for automated classifier generation—a key challenge in robotics and object recognition. While his citation counts reflect a developing career, Neshatian’s contributions are notable for their practical orientation and interdisciplinary approach, offering valuable insights for students and researchers interested in the future of autonomous systems, agricultural robotics, and evolutionary machine learning.