Publication
On inferring intentions in shared tasks for industrial collaborative robots
Journal Article (2019)
Journal
Electronics
Pages
1306
Volume
8
Number
11
Doc link
https://doi.org/10.3390/electronics8111306
File
Authors
Projects associated
Abstract
Inferring human operators' actions in shared collaborative tasks, plays a crucial role in enhancing the cognitive capabilities of industrial robots. In all these incipient collaborative robotic applications, humans and robots not only should share space but also forces and the execution of a task. In this article, we present a robotic system which is able to identify different human's intentions and to adapt its behavior consequently, only by means of force data. In order to accomplish this aim, three major contributions are presented: (a) force-based operator's intent recognition, (b) force-based dataset of physical human-robot interaction and (c) validation of the whole system in a scenario inspired by a realistic industrial application. This work is an important step towards a more natural and user-friendly manner of physical human-robot interaction in scenarios where humans and robots collaborate in the accomplishment of a task.
Categories
industrial robots, intelligent robots.
Author keywords
industrial collaborative robots; shared robotic tasks; physical human–robot interaction; human intention recognition; time series classification
Scientific reference
A. Olivares-Alarcos, S. Foix and G. Alenyà. On inferring intentions in shared tasks for industrial collaborative robots. Electronics, 8(11): 1306, 2019.
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