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Conference Paper Multiple Concurrent Operations and Flexible Robotic Picking for Manufacturing Process Environments
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Authors
Sangseung Kang, Kyekyung Kim
Issue Date
2017-06
Citation
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2017, pp.380-381
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/URAI.2017.7992757
Project Code
17PS1300, Next Generation Manufacturing Robot for Smart Factory and Work-Space Sharing with Human, Kang Sang Seung
Abstract
For automation of part-packaging processes, the system should be able to perform certain functions for operating the applicable concurrent pickup of randomized parts stored in multiple containers. To achieve such operation, we present an effective vision based picking system for multiple concurrent tasks in small parts manufacturing sites. The proposed system detects target objects and analyzes whether they are available for a concurrent picking operation using dual-arm or multiple arm manipulators. In the experimental study, the method showed improved accuracy and an increase in the number of target objects compared to the simple area limitation method for the collision avoidance between the manipulator. The system can be a solution for multiple concurrent operation and flexible robotic picking in manufacturing process environments.
KSP Keywords
Concurrent operations, Dual-arm, Experimental study, Improved Accuracy, Manufacturing processes, Multiple concurrent, Packaging processes, Picking system, Small parts, collision avoidance, vision-based