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Autonomous Social Robot Navigation using a Behavioral Finite State Social Machine

Published online by Cambridge University Press:  05 May 2020

Vaibhav Malviya Open the ORCID record for Vaibhav Malviya [Opens in a new window] ,
Arun Kumar Reddy  and
Rahul Kala Open the ORCID record for Rahul Kala [Opens in a new window]
Vaibhav Malviya*
Affiliation:
Centre of Intelligent Robotics, Indian Institute of Information Technology, Allahabad, Prayagraj, India. E-mails: [email protected], [email protected]
Arun Kumar Reddy
Affiliation:
Centre of Intelligent Robotics, Indian Institute of Information Technology, Allahabad, Prayagraj, India. E-mails: [email protected], [email protected]
Rahul Kala
Affiliation:
Centre of Intelligent Robotics, Indian Institute of Information Technology, Allahabad, Prayagraj, India. E-mails: [email protected], [email protected]
*
*Corresponding author. E-mail: [email protected]
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Summary

We present a robot navigation system based on Behavioral Finite State Social Machine. The paper makes a robot operate as a social tour guide that adapts its navigation based on the behavior of the visitors. The problem of a robot leading a human group with a limited field-of-view vision is relatively untouched in the literature. Uncertainties arise when the visitors are not visible, wherein the behavior of the robot is adapted as a social response. Artificial potential field is used for local planning, and a velocity manager sets the speed disproportional to time duration of missing visitors.

Keywords

Socialistic behaviorArtificial potential fieldBehavioral Finite State MachineAutonomous navigationSocial robot motion planningService robotics.
Type
Articles
Information
Robotica , Volume 38 , Issue 12 , December 2020 , pp. 2266 - 2289
Copyright
Copyright © The Author(s) 2020. Published by Cambridge University Press

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