Pedro Couto

University of Trás-os-Montes and Alto Douro

Papers

Total Citations

H-Index

About

Pedro Couto is a robotics researcher whose work focuses on autonomous navigation and precision agriculture, particularly in challenging environments like steep-slope vineyards. His research addresses the critical limitations of GPS-based localization in rugged terrain by developing vision-based systems that rely on natural and structural features. His most cited work, “Localization Based on Natural Features Detector for Steep Slope Vineyards” (26 citations), introduces a method for robust robot localization using vine trunks as reliable landmarks. This builds on his earlier foundational paper, “Vine Trunk Detector for a Reliable Robot Localization System” (23 citations), which tackled the dual challenges of harsh terrain and unstable GPS accuracy for crop monitoring and harvesting robots. More recently, Couto has extended his expertise to general autonomous driving with “Obstacle Detection for Autonomous Guided Vehicles through Point Cloud Clustering Using Depth Data” (10 citations), demonstrating his versatility in perception systems for safe navigation. His work is highly relevant for researchers in agricultural robotics, field automation, and autonomous vehicle navigation, offering practical solutions that bridge computer vision and real-world deployment.