Tim Patten

Papers

Total Citations

202

H-Index

About

Tim Patten is a leading researcher in agricultural robotics and computer vision, with a focus on sustainable intensification through autonomous systems. His major contributions center on developing cost-effective, vision-based navigation and obstacle detection for broad-acre farming robots, addressing the critical challenge of making robotic solutions competitive with human-driven machinery. His highly cited 2016 work on vision-based obstacle detection and navigation (152 citations) demonstrates a practical system that enables robots to safely traverse complex agricultural environments, directly supporting the goal of sustainable, high-efficiency farming. Patten’s research integrates real-time perception, robust path planning, and low-cost sensor integration, pushing the boundaries of field robotics. His 2014 paper on robotics for sustainable agriculture (50 citations) further establishes his role in shaping the field, emphasizing the need for scalable, economically viable automation. Through these contributions, Patten has advanced the practical deployment of agricultural robots, impacting both research and industry by providing foundational methods for autonomous crop management. His work is essential reading for students and researchers interested in the intersection of computer vision, robotics, and sustainable agriculture.