Awarded work focusses on Integrated Planning and Optimization for Robotic Visual Inspection
Barcelona/Stockholm, June 23rd, 2026. The EMVA Young Professional Award 2026 goes to Vanessa Staderini for her research work titled Integrated Planning and Optimization Framework for Robotic Visual Inspection. Vanessa Staderini received her Ph.D. in Electrical Engineering from TU Wien, where her research focused on bridging robotics and computer vision for automated visual inspection and inspection planning in industrial environments. Her doctoral work has been recognized with multiple Best Paper Awards at international conferences. She holds an M.Sc. in Robotics and Automation Engineering and a B.Sc. in Biomedical Engineering from the University of Pisa. She is currently a Scientist at the Austrian Institute of Technology in Vienna, where her work focuses on industrial inspection planning and robotic solutions for manufacturing applications.
Awarded work: Integrated Planning and Optimization for Robotic Visual Inspection
The work bridges the gap between advances in computer vision and robotics and the practical needs of industrial inspection. It integrates rigorous optimization and vision modeling into a planning framework designed for real robotic systems. Staderini proposes a model-based approach in which geometric coverage, spatial resolution, photometric feasibility, robotic kinematics, and motion are optimized jointly. Starting from CAD data, inspection poses are generated by sampling the object surface and refined via Bayesian optimization to ensure coverage and kinematic feasibility. Viewpoint selection and path planning are then formulated jointly as a Set Coverage Generalized Traveling Salesman Problem, which is solved using integer linear programming. This determines the minimal set of inspection viewpoints together with their optimal collision-free visiting order, providing a globally optimal and executable inspection plan without relying on heuristics. Beyond visibility, defect detection requires guaranteed spatial resolution. Staderini introduces sampling density matrix that extends binary visibility by enforcing minimum resolution constraints per surface element, enabling different regions of a component to be inspected at different resolution levels. In this way, inspection requirements such as defect detectability become explicit optimization objectives. To address reflective materials, photometric modeling is integrated into viewpoint evaluation.

Left to right:
Chris Yates (EMVA President), Vanessa Staderini, Marco Diani (EMVA Board Member)
Founded in 2003, the European Machine Vision Association (EMVA) is a not-for-profit and non-commercial association representing the Machine Vision industry in Europe that is open for all types of organizations having a stake in machine vision, computer vision, embedded vision or imaging technologies: manufacturers, system and machine builders, integrators, distributors, consultancies, research organizations and academia. The EMVA hosts four international vision standards, and all members – as the 100% owners of the association – benefit from the dedicated networking, standardization, and cooperation activities of the EMVA. www.emva.org
The machine vision standardization community is looking back on a successful spring edition of the International Vision Standards Meeting (IVSM) which was hosted by the European Machine Vision Association (EMVA) and held in the Czech capital, Prague from April 13 – 17. Overall, 82 machine vision engineers from all over the world have attended the meeting in person. The main discussions and decisions in the working groups are summarized as follows. Above that, a common theme in many meetings was the possible impacts of the EU Cyber Resilience Act and how to address the topic.
Always being one of the highlights, the traditional plugfest gathered engineers applying the standards connecting a wide range of products to test compatibility, functionality and technical performance. Herein, the release candidate of GigEVision 3.0 had its inaugurating plugfest in preparing the release of the standard version.
In Hall 2, EMVA member companies will showcase their solution expertise for machine vision applications in intralogistics at the joint booth. This year’s participants include ADVANTECH Europe B.V., IDS Imaging Development Systems GmbH, iiM GmbH, Murrelektronik GmbH, Neousys Technology Inc., Smart Vision Lights, and Teledyne Dalsa Inc. Visitors with and without machine vision experience are welcome at the stand, where they can talk to company experts about specific projects as well as the fundamental advantages and possible applications of image processing in intralogistics. In addition, the EMVA trade association will be presenting its range of services and events to visitors at LogiMAT 2026. Where: Hall 2, Booth 2C14.
Rome, Italy, May 27th, 2025. The EMVA Young Professional Award 2025 goes to Dr. Rolandos Alexandros Potamias for his work “High-fidelity 3D Hand Modelling, Detection and Reconstruction in world-coordinates”. The awardee was announced on 23 May during the 23th EMVA Business Conference in Rome, where he also had the opportunity to present his work as part of the regular conference program. Rolandos Alexandros Potamias is a postdoctoral researcher in 3D Computer Vision at the Department of Computing of Imperial College London in United Kingdom, focusing on perceiving and modelling humans. Rolandos holds a MEng from the School of Electrical and Computer Engineering in National Technical University of Athens. He obtained his PhD degree from Imperial College London under the supervision of Stefanos Zafeiriou with the thesis entitled “Advances of graph neural networks for 3D shape learning and analysis”. Rolandos’ current research efforts focus on building foundational embodied AI for open-world robots.
