Olga Diamanti

Autodesk (United States), Graz University of Technology, National Technical University of Athens

Papers

Total Citations

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About

Olga Diamanti is a researcher at the forefront of computational geometry and digital fabrication, whose work bridges the gap between abstract shape analysis and tangible, real-world construction. Her primary research focuses on parsing the inherent structure of man-made objects and developing algorithms that enable their efficient fabrication. Her most influential contribution, the 2018 paper "Parsing Geometry Using Structure-Aware Shape Templates" (with 37 citations), introduces a novel method for automatically decomposing complex 3D models into meaningful, functional parts. This work is pivotal for applications in reverse engineering and robotics, as it allows machines to understand an object's design intent. More recently, Diamanti has advanced the field of fabrication-aware design with her work on strip-decomposable quadrilateral meshes, which are essential for creating woven structures, cable nets, and surfaces from sheets. This research directly addresses the challenge of designing complex forms that are not only visually appealing but also physically constructible. Her earlier work also includes pioneering research in human-robot interaction, where she explored the use of visual sign language recognition for teleoperating mobile robots, demonstrating a unique breadth of interest from geometric algorithms to assistive technology.