Max Robotics — Global Service Robot Directory + US Certification

About

Marco Ambrosio is pioneering the next generation of autonomous navigation for precision agriculture, tackling one of the field’s most stubborn challenges: reliable robot guidance without GPS. His research centers on deep semantic segmentation and model predictive control to enable agricultural robots to “see” and navigate cluttered crop rows—from vineyards to tree-lined fields—using only visual cues. Ambrosio’s major contribution is a position-agnostic framework that fuses real-time semantic understanding with advanced control, allowing rovers to operate robustly even when satellite signals fail. His most-cited work, “GPS-free autonomous navigation in cluttered tree rows with deep semantic segmentation” (2024, 12 citations), demonstrates how segmentation-based methods can replace GPS in complex row-crop environments. To accelerate real-world deployment, he also pioneers synthetic data generation techniques that reduce the need for costly field trials, as shown in his 2024 paper on enhancing visual navigation with simulated environments (9 citations). With additional work on non-linear model predictive control for multi-task vineyard navigation (5 citations), Ambrosio is rapidly establishing himself as a key innovator at the intersection of computer vision, control theory, and agricultural robotics—paving the way for scalable, GPS-free autonomy in farming.