Laser Scanning with Industrial Robot Arm for Raw-wood Fabrication

激光扫描 机器人 机械臂 扫描仪 点云 计算机科学 工作流程 制作 工程类 人工智能 工程制图 激光器 数据库 光学 医学 物理 替代医学 病理
作者
Petras Vestartas,Yves Weinand
出处
期刊:Proceedings of the ... ISARC 被引量:7
标识
DOI:10.22260/isarc2020/0107
摘要

Laser Scanning with Industrial Robot Arm for Raw-wood Fabrication Petras Vestartas and Yves Weinand Pages 773-780 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7) Abstract: This paper presents an integrated raw-wood fabrication workflow using an industrial robot arm and a laser scanner. The research is situated in a Swiss mountain forestry context where timber in its natural form could be applied locally without relying on large centralized timber industries. While local saw-mills relies on the standard processing tools to transform raw-wood into regular beams and boards, an automated robotic application could exploit timber in its natural form directly for construction. The research proposes a digital fabrication workflow that links industrial robot arm and laser scanning to adapt timber joinery tool-paths to irregular raw-wood such as straight, bent and forked tree trunks. The application employs ABB IRB6400 robot and Faro Focus S150 laser scanner. Several methods are developed for the point-cloud processing including flat-cut sectioning, mesh reconstruction and cylinder fitting. The methodology is tested in two stages: a) scanning a set of tree trunks b) continuous integration within robotic fabrication. The findings compare the scanning method in regards to calibration, pointcloud processing, time needed to communicate between the robot controller, the accuracy of the application. The results show that is possible to perform robotic cutting and scanning interchangeably and the speed of the scanning application is proportionally fast (3-4 min) considering the overall robotic cutting time (60-90 min) depending on the study case. Keywords: Laser Scanning; Industrial Robot; Robotic Fabrication; Unprocessed Timber; Raw-wood; Round-wood DOI: https://doi.org/10.22260/ISARC2020/0107 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
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