Paper Info
Title
Operator Awareness In Human-Robot Collaboration Through Wearable Vibrotactile Feedback
Abstract
In industrial scenarios, requiring human-robot collaboration, the understanding between the human operator and his/her robot coworker is paramount. On the one side, the robot has to detect human intentions, and on the other side, the human needs to be aware of what is happening during the collaborative task. In this letter, we address the first issue by predicting human behavior through a new recursive Bayesian classifier, exploiting head, and hand tracking data. Human awareness is tackled by endowing the human with a vibrotactile ring that sends acknowledgments to the user during critical phases of the collaborative task. The proposed solution has been assessed in a human-robot collaboration scenario, and we found that adding haptic feedback is particularly helpful to improve the performance when the human- robot cooperation task is performed by nonskilled subjects. We believe that predicting operator's intention and equipping him/her with wearable interface, able to give information about the prediction reliability, are essential features to improve performance in a human-robot collaboration in industrial environments.
Year
DOI
Venue
2018
10.1109/LRA.2018.2865034
IEEE ROBOTICS AND AUTOMATION LETTERS
Keywords
Field
DocType
Human-centered robotics, haptics and haptic interfaces, cognitive human-robot interaction
Naive Bayes classifier,Task analysis,Wearable computer,Fundamental human needs,Control engineering,Human–computer interaction,Engineering,Robot,Haptic technology,Recursion,Human–robot interaction
Journal
Volume
Issue
ISSN
3
4
2377-3766
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Andrea Casalino163.57
Costanza Messeri200.68
María Pozzi3116.80
Andrea Maria Zanchettin49021.18
Paolo Rocco5296.71
Domenico Prattichizzo6106.34