Vision-Based Solutions for Robotic Manipulation and Navigation Applied to Object Picking and Distribution

被引:1
|
作者
Máximo A. Roa-Garzón
Elena F. Gambaro
Monika Florek-Jasinska
Felix Endres
Felix Ruess
Raphael Schaller
Christian Emmerich
Korbinian Muenster
Michael Suppa
机构
[1] Roboception GmbH,
来源
关键词
Robotic vision; Object picking; Logistics;
D O I
暂无
中图分类号
学科分类号
摘要
This paper presents a robotic demonstrator for manipulation and distribution of objects. The demonstrator relies on robust 3D vision-based solutions for navigation, object detection and detection of graspable surfaces using the rc_visard, a self-registering stereo vision sensor. Suitable software modules were developed for SLAM and for model-free suction gripping. The modules run onboard the sensor, which enables creating the presented demonstrator as a standalone application that does not require an additional host PC. The modules are interfaced with ROS, which allows a quick implementation of a fully functional robotic application.
引用
收藏
页码:171 / 180
页数:9
相关论文
共 50 条
  • [1] Vision-Based Solutions for Robotic Manipulation and Navigation Applied to Object Picking and Distribution
    Roa-Garzon, Maximo A.
    Gambaro, Elena F.
    Florek-Jasinska, Monika
    Endres, Felix
    Ruess, Felix
    Schaller, Raphael
    Emmerich, Christian
    Muenster, Korbinian
    Suppa, Michael
    [J]. KUNSTLICHE INTELLIGENZ, 2019, 33 (02): : 171 - 180
  • [2] Vision-based stratified robotic manipulation
    Wei, YJ
    Skaar, SB
    Goodwine, B
    [J]. 2002 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-3, PROCEEDINGS, 2002, : 1638 - 1644
  • [3] Hybrid object detection vision-based applied on mobile robot navigation
    Velasquez-Aguilar, J. G.
    Aquino-Roblero, F.
    Granados-Contreras, M.
    Ramirez-Agundis, A.
    [J]. 2015 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONICS, AND AUTOMOTIVE ENGINEERING (ICMEAE 2015), 2015, : 51 - 56
  • [4] Learning Affordance Space in Physical World for Vision-based Robotic Object Manipulation
    Wu, Huadong
    Zhang, Zhanpeng
    Cheng, Hui
    Yang, Kai
    Liu, Jiaming
    Guo, Ziying
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2020, : 4652 - 4658
  • [5] Reward Machines for Vision-Based Robotic Manipulation
    Camacho, Alberto
    Varley, Jacob
    Deng, Andy
    Jain, Deepali
    Iscen, Atil
    Kalashnikov, Dmitry
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 14284 - 14290
  • [6] Vision-Based Robotic Manipulation of Flexible PCBs
    Li, Xiang
    Su, Xing
    Liu, Yun-Hui
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2018, 23 (06) : 2739 - 2749
  • [7] Development of vision-based navigation for a robotic wheelchair
    Bailey, Matt
    Chanler, Andrew
    Maxwell, Bruce
    Micire, Mark
    Tsui, Katherine
    Yanco, Holly
    [J]. 2007 IEEE 10TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, VOLS 1 AND 2, 2007, : 951 - +
  • [8] Vision-Based Measurement and Prediction of Object Trajectory for Robotic Manipulation in Dynamic and Uncertain Scenarios
    Xia, Chongkun
    Weng, Ching-Yen
    Zhang, Yunzhou
    Chen, I-Ming
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (11) : 8939 - 8952
  • [9] Automated Object Manipulation Using Vision-Based Mobile Robotic System for Construction Applications
    Asadi, Khashayar
    Haritsa, Varun R.
    Han, Kevin
    Ore, John-Paul
    [J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2021, 35 (01)
  • [10] Intelligent Lighting Control for Vision-Based Robotic Manipulation
    Chen, S. Y.
    Zhang, Jianwei
    Zhang, Houxiang
    Kwok, N. M.
    Li, Y. F.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2012, 59 (08) : 3254 - 3263