Dimitrios Katsatos
Information Technologies Institute, Centre for Research and Technology Hellas
Papers
3
Total Citations
15
H-Index
3
About
Dimitrios Katsatos is pioneering the integration of computer vision, robotics, and deep learning to automate the construction industry. His research focuses on two critical challenges: enabling autonomous mobile robots to navigate complex indoor environments and developing intelligent systems for construction quality control. In his work on "Semantic 3D Reconstruction for Volumetric Modeling of Defects in Construction Sites" (6 citations), Katsatos created a novel framework that uses stereo vision and deep learning to generate 3D models of construction defects, addressing the critical shortage of skilled labor for repair work. His paper "Robot Active Vision-Based Path Planning for Localization Improvement in Indoor Environments" (5 citations) tackles the fundamental problem of robot navigation in GPS-denied, visually degraded indoor spaces. Most notably, in "Towards autonomous shotcrete construction" (4 citations), he developed a semantic 3D understanding module that identifies regions of interest for concrete deposition, directly advancing the vision of fully autonomous construction sites. Katsatos’s work sits at the intersection of construction engineering and artificial intelligence, offering practical solutions to labor shortages and workplace hazards while pushing the boundaries of what autonomous systems can achieve in unstructured, real-world environments.
Research Focus
Key Achievements
Top Papers
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