Pedro Javier Herrera

Centre for Automation and Robotics, Universidad Nacional de Educación a Distancia, Software (Spain)

Papers

Total Citations

440

H-Index

About

Pedro Javier Herrera is a leading researcher at the intersection of agricultural robotics and computer vision, whose work is shaping the future of precision farming. His most impactful contribution, the 2010 paper "Automatic segmentation of relevant textures in agricultural images," has garnered 379 citations and established foundational methods for enabling machines to interpret complex field environments. Herrera’s primary research areas include autonomous navigation, robust control systems, and image-based scene understanding for agricultural applications. He has made significant strides in overcoming the intrinsic non-linearities of skid-steering robots, as demonstrated in his 2019 work on a simplified optimal path-following controller—a design that balances performance with the computational constraints of embedded systems. His 2018 paper on robust digital control further solidifies his expertise in creating reliable, real-time solutions for field robots. By bridging the gap between theoretical control challenges and practical deployment, Herrera’s research directly addresses the need for efficient, low-cost automation in agriculture. His work continues to inspire new generations of roboticists and agronomists seeking to integrate intelligent machines into sustainable farming practices.