Juraj Gazda
Papers
2
Total Citations
24
H-Index
2
About
Juraj Gazda is a researcher at the forefront of 3D computer vision, with a primary focus on Neural Radiance Fields (NeRFs) and their transformative applications in industrial and robotics domains. His major contribution lies in systematically bridging the gap between cutting-edge neural rendering techniques and practical engineering challenges, particularly in extended reality (XR), computer-aided design (CAD), and robotic perception. Gazda’s most cited work, “Neural Radiance Fields in the Industrial and Robotics Domain: Applications, Research Opportunities and Use Cases” (2024), has already garnered 21 citations, establishing him as a key voice in translating NeRF technology from academic novelty to industrial utility. In this comprehensive survey, he identifies critical limitations in current methods—such as computational inefficiency and lack of robustness in dynamic environments—while charting a roadmap for future research. By synthesizing opportunities across finite element analysis, scanning, and robotics, Gazda’s work provides an essential reference for engineers and scientists seeking to deploy NeRFs in real-world settings. His research not only advances the state of the art but also democratizes access to complex 3D reconstruction techniques, making him a vital contributor to the next generation of intelligent, perception-driven systems.
Research Focus
Key Achievements
Top Papers
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- 2