A Robotic Bin-Picking Add-on for Disengaging Parts through Vibration and Machine Vision

被引:0
|
作者
Galinanes, Iria [1 ]
Paz-Cibeira, Ruben [1 ]
Fernandez-Gonzalez, Carmen [1 ]
Martinez-Luquero, Pablo [2 ]
Jose Areal, Juan [2 ]
Lopez-Beiras, Pablo [1 ]
Dacal-Nieto, Angel [1 ]
Alonso-Ramos, Victor [1 ]
机构
[1] CTAG Ctr Tecnol Automoc Galicia, O Porrino, Spain
[2] PCAE Peugeot Citroen Automoviles Espana Stellanti, Vigo, Spain
关键词
bin-picking; robotics; machine vision; gripper; automotive; manufacturing;
D O I
10.1109/ICCMA56665.2022.10011623
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Robotic-based bin-picking systems are being installed worldwide in manufacturing sites, as a new automated approach for part manipulation. However, under some circumstances, the available systems in the market do not provide a robust solution. This is the case when the parts to manipulate engage each other, making difficult to pick only one part from the part container. This is a common scenario in some sectors, such as automotive. This paper proposes a new method to complement current commercial bin-picking systems, based on 1) a new robotic gripper design including a pneumatic vibration system, to force the parts to disengage, and 2) an additional specific machine vision system to check if the gripper is indeed picking one single part, and not more. This solution has been validated and will be installed in the Stellantis automotive factory in Vigo (Spain), on a real use case. The results show that the new approach allows to successfully pick one part in the 100% of the cases. This bin-picking add-on is suitable for applications in aeronautics, automotive, metal-mechanical, among others, allowing the automation of processes in these complex scenarios, where no commercial solution was available until now.
引用
收藏
页码:13 / 18
页数:6
相关论文
共 50 条
  • [41] Machine vision streamlines robotic handling of engine parts
    Cognex Corp
    Rob World, 2 (20-25):
  • [42] Machine vision streamlines robotic handling of engine parts
    不详
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2000, 27 (01): : 59 - 60
  • [43] An Object Segmentation Method based on Image Contour and Local Convexity for 3D Vision Guided Bin-Picking Applications
    Song, Yunlian
    Wu, Shiqian
    Zhao, Juan
    Gu, Feifei
    Song, Zhan
    PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE RCAR), 2018, : 474 - 478
  • [44] Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking
    Zhuang, Chungang
    Li, Shaofei
    Ding, Han
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2023, 82
  • [45] A 6D Pose Estimation for Robotic Bin-Picking Using Point-Pair Features with Curvature (Cur-PPF)
    Cui, Xining
    Yu, Menghui
    Wu, Linqigao
    Wu, Shiqian
    SENSORS, 2022, 22 (05)
  • [46] Evaluation of Kinect Vision Sensor for Bin-Picking Applications Improved Component Separation Accuracy with Combined Use of Depth Map and Color Image
    Miyata, Shigeharu
    Yashiki, Yoshiyuki
    2014 13TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION (ICARCV), 2014, : 94 - 99
  • [47] AUTOMATED 3D VISION GUIDED BIN PICKING PROCESS FOR RANDOMLY LOCATED INDUSTRIAL PARTS
    Martinez, Carlos
    Chen, Heping
    Boca, Remus
    2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2015, : 3172 - 3177
  • [48] Blind Bin Picking of Small Screws Through In-finger Manipulation With Compliant Robotic Fingers
    Ishige, Matthew
    Umedachi, Takuya
    Ijiri, Yoshihisa
    Taniguchi, Tadahiro
    Kawahara, Yoshihiro
    2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2020, : 9337 - 9344
  • [49] AttentionVote: A coarse-to-fine voting network of anchor-free 6D pose estimation on point cloud for robotic bin-picking application
    Zhuang, Chungang
    Wang, Haoyu
    Ding, Han
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2024, 86
  • [50] Nut Projection Welding Robotic System for Industrial Parts Based on Machine Vision
    Liu, Chao
    Zhou, Dexin
    Xiong, Zhenhua
    Sheng, Xinjun
    2021 27TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP), 2021,