M. Karaszewski
Papers
1
Total Citations
34
H-Index
1
About
M. Karaszewski is a leading researcher in 3D scanning, computer vision, and robotic perception, with a focus on optimizing automated data acquisition. Their most-cited work, "Assessment of next-best-view algorithms performance with various 3D scanners and manipulator" (2016, 34 citations), provides a foundational framework for evaluating how robotic systems can intelligently select viewpoints to maximize 3D reconstruction quality. This contribution directly addresses a critical bottleneck in autonomous scanning: the need for efficient, coverage-maximizing paths that adapt to different hardware configurations. By systematically benchmarking algorithms across diverse scanners and manipulators, Karaszewski established practical guidelines that have influenced subsequent research in industrial inspection, cultural heritage digitization, and autonomous exploration. Their work bridges theoretical algorithm design with real-world robotic implementation, offering both quantitative metrics and actionable insights for practitioners. With 34 citations, this paper remains a key reference for researchers developing next-best-view strategies, underscoring Karaszewski’s role in advancing the reliability and efficiency of automated 3D sensing systems.
Research Focus
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Top Papers
- 1