Paper Info
Title
Humans interacting with multi-robot systems: a natural affect-based approach
Abstract
This paper proposes a novel human–multi-robot-system interaction approach that enjoys two main features: natural interaction and affect-based adaptation of robots behavior. Specifically, the proposed system enables interaction by means of a wrist-worn device, such as a commercial smartwatch, which allows to track user’s movements and heart activity. Thus, on the one side, the proposed system allows the user to intuitively drive the robots by establishing a natural mapping between wrist movements and robots velocity. On the other side, the system estimates user’s mental fatigue during interaction by means of the analysis of heart rate variability. The proposed interaction system adapts then the behavior of the multi-robot system when the interacting user gets overwhelmed with the interaction and control task, which is then simplified. Experimental validation is provided, to show the effectiveness of the proposed system. First, the natural and affect-based interaction are considered separately. Then, the approach is tested considering a complex realistic scenario, which is simulated in virtual reality in order to get an immersive and realistic interaction experience. The results of the experimental validation clearly show that the proposed affect-based adaptive system leads to relieving the user’s fatigue and mental workload.
Year
DOI
Venue
2020
10.1007/s10514-019-09889-6
Autonomous Robots
Keywords
Field
DocType
Human–multi-robot-system interaction, Natural ineraction, Affective robotics, Human–centred robotics
Robotic systems,Virtual reality,Computer science,Simulation,Adaptive system,Workload,Immersion (virtual reality),Robot,Smartwatch,Natural mapping
Journal
Volume
Issue
ISSN
44
3
0929-5593
Citations 
PageRank 
References 
1
0.35
0
Authors
5
Name
Order
Citations
PageRank
Valeria Villani14512.54
Beatrice Capelli242.47
Cristian Secchi397781.94
Cesare Fantuzzi427538.53
Lorenzo Sabattini539336.65