Rescan Strategy for Time Efficient View and Path Planning in Automated Inspection System

被引:1
|
作者
Hoon Kwon
Minwoo Na
Jae-Bok Song
机构
[1] Korea University,School of Mechanical Engineering
关键词
Active vision; Model-based robotic inspection; View planning; Path planning;
D O I
暂无
中图分类号
学科分类号
摘要
In 3D robotic inspection systems, view planning and path planning are important to minimize the operation time of the system. In this study, an automated inspection system is proposed that consists of a structured light scanner, a collaborative robot, and a rotary table. In addition, a rescan strategy algorithm is proposed that can minimize the operation time of the system and enhance the reliability of the inspection task. This algorithm uses a small number of viewpoints for view planning by selecting an area to be rescanned. At the same time, path planning with the rotation and alignment of viewpoints using a rotary table make it possible to reduce the scanning time. Experimental results on various objects have verified that the proposed method can be applied to the 3D quality inspection task with a reasonable operation time.
引用
收藏
页码:1747 / 1756
页数:9
相关论文
共 50 条
  • [1] Rescan Strategy for Time Efficient View and Path Planning in Automated Inspection System
    Kwon, Hoon
    Na, Minwoo
    Song, Jae-Bok
    [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2019, 20 (10) : 1747 - 1756
  • [2] Automated system for inspection planning
    Paramonov, YM
    Abramov, VI
    Glagovsky, AA
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 1999, 37 (1-2) : 461 - 464
  • [3] A method of automatic field of view generation and path planning for automated x-ray inspection
    Song, Guiling
    Xu, Wei
    [J]. EXPERT SYSTEMS, 2023,
  • [4] Automated and Cycle Time Optimized Path Planning for Robot-Based Inspection Systems
    Ulrich, Marco
    Lux, Gregor
    Juergensen, Leila
    Reinhart, Gunther
    [J]. 6TH CIRP CONFERENCE ON ASSEMBLY TECHNOLOGIES AND SYSTEMS (CATS), 2016, 44 : 377 - 382
  • [5] A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks
    Landgraf, Christian
    Meese, Bernd
    Pabst, Michael
    Martius, Georg
    Huber, Marco F.
    [J]. SENSORS, 2021, 21 (06) : 1 - 17
  • [6] Machining-Based Coverage Path Planning for Automated Structural Inspection
    Macleod, Charles Norman
    Dobie, Gordon
    Pierce, Stephen Gareth
    Summan, Rahul
    Morozov, Maxim
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2018, 15 (01) : 202 - 213
  • [7] Path planning of automated optical inspection machines for PCB assembly systems
    Park, TH
    Kim, HJ
    Kim, N
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2006, 4 (01) : 96 - 104
  • [8] Optimized structural inspection path planning for automated unmanned aerial systems
    Zhao, Yuxiang
    Lu, Benhao
    Alipour, Mohamad
    [J]. AUTOMATION IN CONSTRUCTION, 2024, 168
  • [9] Efficient View Path Planning for Autonomous Implicit Reconstruction
    Zeng, Jing
    Li, Yanxu
    Ran, Yunlong
    Li, Shuo
    Gao, Fei
    Li, Lincheng
    He, Shibo
    Chen, Jiming
    Ye, Qi
    [J]. 2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA, 2023, : 4063 - 4069
  • [10] View planning for automated three-dimensional object reconstruction and inspection
    Scott, WR
    Roth, G
    Rivest, JF
    [J]. ACM COMPUTING SURVEYS, 2003, 35 (01) : 64 - 96