|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|148875||2018||18 صفحه PDF||سفارش دهید||12673 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Mechatronics, Volume 51, May 2018, Pages 97-114
The Industry 4.0 paradigm emphasizes the crucial benefits that collaborative robots, i.e., robots able to work alongside and together with humans, could bring to the whole production process. In this context, a yet unreached enabling technology is the design of robots able to deal at all levels with humansâ intrinsic variability, which is not only a necessary element to a comfortable working experience for humans, but also a precious capability for efficiently dealing with unexpected events. In this paper, a sensing, representation, planning and control architecture for flexible humanârobot cooperation, referred to as FlexHRC, is proposed. FlexHRC relies on wearable sensors for human action recognition, AND/OR graphs for the representation of and the reasoning upon humanârobot cooperation models online, and a Task Priority framework to decouple action planning from robot motion planning and control.