TY - JOUR
T1 - A survey on human-aware robot navigation
AU - Möller, Ronja
AU - Furnari, Antonino
AU - Battiato, Sebastiano
AU - Härmä, Aki
AU - Farinella, Giovanni Maria
N1 - Funding Information:
This research has been supported by Marie Skłodowska-Curie Innovative Training Networks - European Industrial Doctorates - PhilHumans Project (Contract no. 812882 , Web: http://www.philhumans.eu ), MIUR AIM - Attrazione e Mobilita Internazionale Linea 1 - AIM1893589 - CUP: E64118002540007 and by MISE - PON I&C 2014-2020 - ENIGMA Project - Prog n. F/190050/02/X44 – CUP: B61B19000520008 .
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/11
Y1 - 2021/11
N2 - Intelligent systems are increasingly part of our everyday lives and have been integrated seamlessly to the point where it is difficult to imagine a world without them. Physical manifestations of those systems on the other hand, in the form of embodied agents or robots, have so far been used only for specific applications and are often limited to functional roles (e.g. in the industry, entertainment and military fields). Given the current growth and innovation in the research communities concerned with the topics of robot navigation, human–robot-interaction and human activity recognition, it seems like this might soon change. Robots are increasingly easy to obtain and use and the acceptance of them in general is growing. However, the design of a socially compliant robot that can function as a companion needs to take various areas of research into account. This paper is concerned with the navigation aspect of a socially-compliant robot and provides a survey of existing solutions for the relevant areas of research as well as an outlook on possible future directions.
AB - Intelligent systems are increasingly part of our everyday lives and have been integrated seamlessly to the point where it is difficult to imagine a world without them. Physical manifestations of those systems on the other hand, in the form of embodied agents or robots, have so far been used only for specific applications and are often limited to functional roles (e.g. in the industry, entertainment and military fields). Given the current growth and innovation in the research communities concerned with the topics of robot navigation, human–robot-interaction and human activity recognition, it seems like this might soon change. Robots are increasingly easy to obtain and use and the acceptance of them in general is growing. However, the design of a socially compliant robot that can function as a companion needs to take various areas of research into account. This paper is concerned with the navigation aspect of a socially-compliant robot and provides a survey of existing solutions for the relevant areas of research as well as an outlook on possible future directions.
KW - Active vision
KW - Activity recognition
KW - Human robot interaction
KW - Robot navigation
UR - http://www.scopus.com/inward/record.url?scp=85113985754&partnerID=8YFLogxK
U2 - 10.1016/j.robot.2021.103837
DO - 10.1016/j.robot.2021.103837
M3 - Article
AN - SCOPUS:85113985754
SN - 0921-8890
VL - 145
JO - Robotics and Autonomous Systems
JF - Robotics and Autonomous Systems
M1 - 103837
ER -