Claus Smitt is a Senior Machine Learning Scientist with a decade of experience at the intersection of 3D computer vision, robotics, and agricultural automation. Currently finishing a Ph.D. at the University of Bonn, he specializes in 3D neural scene understanding and has built perception and state-estimation systems for autonomous trucks, vacuum robots, and inspection UAVs. He blends academic rigor with applied engineering—designing Visual SLAM and sensor-fusion pipelines at iRobot and edge monocular SLAM for CNEA—now focusing on geospatial foundation models for earth observation in agriculture. Comfortable moving systems from research to production, he has a strong electronics and control background (Universidad Nacional de Rosario, Instituto Balseiro) that informs robust, real-world robotics solutions. Notably, his work targets precision horticulture interventions, a niche that combines high-resolution 3D perception with practical field deployment constraints. Based in Bonn, he brings both international field experience and hands-on hardware/software integration skills to complex robotic perception problems.
10 years of coding experience
3 years of employment as a software developer
Master of Engineering Robotics, Master of Engineering Robotics at Instituto Balseiro
Electronics Technician, Electronics Technician at Casa Salesiana San José
Exchange Student Elektrotechnik, Exchange Student Elektrotechnik at Technische Universität Braunschweig
Electrical Engineer Control engineering & microcontrollers , Electrical Engineer Control engineering & microcontrollers at Universidad Nacional de Rosario
Ph.D. (Dr.-Ing.) Robotic Vision for Precision Intervention in Horticulture, Ph.D. (Dr.-Ing.) Robotic Vision for Precision Intervention in Horticulture at The University of Bonn
:pencil2: Web-based image segmentation tool for object detection, localization and keypoints
Contributions:29 pushes, 1 branch in 2 years 8 months
keypointsdetectionimage-segmentationweb-basedcoco
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Claus Smitt - Senior Machine Learning Scientist at Degas