Arthur Rosa de Souza
Papers
1
Total Citations
2
H-Index
1
About
Arthur Rosa de Souza is a researcher focused on the intersection of robotics, computer vision, and 3D modeling, with a particular emphasis on automating photogrammetry. His most cited work, "Coordinate multi-robotic system for image taking and visualization via photogrammetry" (2017), addresses a critical bottleneck in 3D model creation: the tedious and imprecise process of capturing the necessary photographs. By developing a coordinated multi-robot system, de Souza’s research streamlines image acquisition, making photogrammetry more accessible and accurate for applications in holograms, virtual reality, and other 3D visualization technologies. Though his citation count is modest (2 citations), this foundational work demonstrates his innovative approach to solving practical challenges in robotics and imaging. His contributions are particularly relevant for researchers and students exploring automated 3D reconstruction, multi-agent coordination, and low-cost visualization methods. De Souza’s work highlights the potential of robotic collaboration to enhance efficiency in fields ranging from cultural heritage preservation to industrial design, marking him as an emerging voice in applied robotics and photogrammetry.
Research Focus
Key Achievements
Top Papers
- 1