The application of learning algorithms in the development of natural interaction

E.I. Barakova, R. Mestrom, W. Willemsen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper argues that natural interaction with a machine can be realized and improved by using learning algorithms. Through the use of supervised and reinforcement learning algorithms, a robot was created that can be trained to perform actions using only verbal commands. The user has complete freedom in choosing preferred commands and what actions should be linked to these commands. The combination of supervised and reinforcement learning resulted in a fundamentally different way of interaction with a robot. The way this system was set up can be used as a framework for new projects, giving designers a new tool to improve human-machine interaction.
Original languageEnglish
Title of host publicationProceedings of DSSIRE'11, October 18-19, 2011, Eindhoven, The Netherlands
EditorsC.J. Hopper, J.B. Martens, P. Markopoulos
Pages81-84
Publication statusPublished - 2011
Eventconference; DSSIRE'11 - Eindhoven, Netherlands
Duration: 18 Oct 201119 Oct 2011

Conference

Conferenceconference; DSSIRE'11
Country/TerritoryNetherlands
CityEindhoven
Period18/10/1119/10/11
OtherDSSIRE'11, October 18-19, 2011, Eindhoven, The Netherlands

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