Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/59063
Title: I remember what you did: A behavioural guide-robot
Contributor(s): Ojha, Suman (author); Gudi, S L K Chand (author); Vitale, Jonathan  (author)orcid ; Williams, Mary-Anne (author); Johnston, Benjamin (author)
Publication Date: 2019
DOI: 10.1007/978-3-319-78452-6_23
Handle Link: https://hdl.handle.net/1959.11/59063
Abstract: 

Robots are coming closer to human society following the birth of emerging field called Social Robotics. Social Robotics is a branch of robotics that specifically pertains to the design and development of robots that can be employed in human society for the welfare of mankind. The applications of social robots may range from household domains such as elderly and child care to educational domains like personal psychological training and tutoring. It is crucial to note that if such robots are intended to work closely with young children, it is extremely important to make sure that these robots teach not only the facts but also important social aspects like knowing what is right and what is wrong. It is because we do not want to produce a generation of kids that knows only the facts but not morality. In this paper, we present a mechanism used in our computational model (i.e EEGS) for social robots, in which emotions and behavioural response of the robot depends on how one has previously treated a robot. For example, if one has previously treated a robot in a good manner, it will respond accordingly while if one has previously mistreated the robot, it will make the person realise the issue. A robot with such a quality can be very useful in teaching good manners to the future generation of kids.

Publication Type: Conference Publication
Conference Details: RITA 2017: 5th International Conference on Robot Intelligence Technology and Applications, Korea, 13th to 15th of December, 2017
Source of Publication: Robot Intelligence Technology and Applications 5 Results from the 5th International Conference on Robot Intelligence Technology and Applications, v.751, p. 273-282
Publisher: Springer
Place of Publication: Switzerland
Fields of Research (FoR) 2020: 4601 Applied computing
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Series Name: Advances in Intelligent Systems and Computing
Series Number : 751
Appears in Collections:Conference Publication
School of Science and Technology

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