Hanz Cuevas-Velasquez

University of Edinburgh, Max Planck Institute for Intelligent Systems

Papers

Total Citations

H-Index

About

Hanz Cuevas-Velasquez is a leading researcher at the intersection of agricultural robotics, computer vision, and deep learning. His work primarily focuses on enabling autonomous systems to perceive and interact with complex, unstructured environments—particularly in horticulture. Cuevas-Velasquez’s major contributions include pioneering the first robotic system capable of pruning rose bushes in a natural outdoor setting, as detailed in his highly cited 2020 paper on real-time stereo visual servoing for rose pruning. This work, which has garnered 17 citations, integrates a complete hardware-software pipeline for automated cutting. His foundational research on “Segmentation and 3D reconstruction of rose plants from stereoscopic images” (40 citations) provides the critical perception layer for such tasks. More recently, he has advanced the field of scene understanding for robotics and autonomous driving with an efficient multi-task progressive learning framework for simultaneous semantic segmentation and disparity estimation (10 citations). By combining 3D reconstruction, visual servoing, and multi-task learning, Cuevas-Velasquez is driving the future of precision agriculture and embodied AI, making robots that can see, understand, and act in the real world.