James A. Taylor

Papers

Total Citations

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About

James A. Taylor is a pioneer in agricultural robotics, with a focus on the intersection of computer vision, autonomous navigation, and manipulator control for fruit harvesting. His most-cited work, "Vision and neural control for an orange harvesting robot" (2002, 24 citations), introduced a groundbreaking system architecture for a large-scale robotic harvester. This platform featured two independent, electrically driven telescopic arms mounted on a hydraulic arm and tracked vehicle, integrating neural network-based vision for fruit detection and real-time control. Taylor’s contributions advanced the practical deployment of robots in unstructured agricultural environments, addressing challenges in precision, speed, and adaptability. His research has influenced subsequent work in soft robotics and sensor fusion for crop harvesting, earning recognition for bridging theoretical control systems with field-ready applications. While his citation count reflects a niche but impactful area, Taylor’s work remains a foundational reference for engineers developing autonomous systems for delicate, high-value crops. His achievements highlight the potential of robotics to transform labor-intensive agriculture, inspiring new generations of researchers in agri-robotics and bio-inspired control.