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| Contribution to a conference proceedings/Contribution to a book | IMPULSE-2025-00139 |
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2025
Springer Nature Switzerland
Cham
ISBN: 978-3-031-74010-7
Please use a persistent id in citations: doi:10.1007/978-3-031-74010-7_18
Abstract: In this paper, we investigate the suitability of existing point set registration algorithms for the task of pose estimation of industrial parts. Numerous algorithms with different characteristics have been developed already. However, no comparative analysis regarding the performance in the context of industrial parts have been conducted yet. We implement a comparative study by applying various point set registration algorithms to an industrial part and varying the point cloud density. The results of our study provide insights into the performance of different algorithms and shed light on the best practices for point set registration in the context of industrial parts.
Keyword(s): Robotics (LCSH) ; Control engineering (LCSH) ; Automation (LCSH) ; Machine learning (LCSH) ; Instrument and Method Development (1st) ; Industrial Application (2nd) ; Instrument and Method Development (2nd)
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