Marcin Adamczyk
Papers
1
Total Citations
34
H-Index
1
About
Marcin Adamczyk is a researcher in robotics and 3D perception, with a primary focus on optimizing sensor-based automation for manufacturing and inspection. His work centers on the critical challenge of "next-best-view" (NBV) planning—the algorithmic determination of optimal sensor positions to maximize data acquisition efficiency. Adamczyk’s most-cited paper, "Assessment of next-best-view algorithms performance with various 3D scanners and manipulator" (2016, 34 citations), provides a systematic evaluation of NBV strategies across different hardware configurations, bridging the gap between theoretical algorithms and practical robotic deployment. This contribution is foundational for improving autonomous 3D reconstruction, quality control, and object recognition in industrial settings. By benchmarking performance with diverse scanners and manipulators, Adamczyk has helped establish guidelines for selecting and tuning NBV methods, directly impacting the efficiency of robotic vision systems. His research is particularly valuable for students and engineers working on sensor planning, as it offers empirical insights into real-world constraints. With growing interest in automated inspection and digital twinning, Adamczyk’s work continues to inform the development of more adaptive and robust perception pipelines.
Research Focus
Key Achievements
Top Papers
- 1