Evolutionary Method for Robot Morphology: Case Study of Social Robot Probo

Research output: Chapter in Book/Report/Conference proceedingConference paper

5 Citations (Scopus)

Abstract

The appearance of robots is often made arbitrary as
it relies more on guidelines than on a rigorous methodology. This
paper presents a novel method of using genetic algorithms (GA)
to improve the appearance of social robots with human feedback.
Such general methods are interesting as they do not require
prior artistic experience from the designer and can integrate
the end-user in the loop. As a proof of concept, we carry out
a case study by applying this method to the new design of the
social robot Probo. Using designer feedback, the robot is evolved
from its original design over five populations composed of 15
individuals. An online survey shows that the evolved designs are
significantly improved compared to the original. These results
indicate the feasibility of the method employed and gives rise to
the possibility of non-technical end-users influencing the design of
robot morphologies adapted for specific human-robot interaction
requirements.
Original languageEnglish
Title of host publicationThe Eleventh ACM/IEEE International Conference on Human Robot Interation
Pages609-610
Number of pages2
Publication statusPublished - 2016
Event11th ACM/IEEE International conference on Human-Robot Interaction - Chateau on the Park , Christchurch, New Zealand
Duration: 7 Mar 201610 Mar 2016
http://humanrobotinteraction.org/2016/

Conference

Conference11th ACM/IEEE International conference on Human-Robot Interaction
Abbreviated titleHRI 2016
Country/TerritoryNew Zealand
CityChristchurch
Period7/03/1610/03/16
Internet address

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