Emotion-aware probabilistic robotics

Martin Lukac, Michitaka Kameyama

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

Abstract

In this paper we present a probabilistic approach to the Human State Problem (HSP). In HSP a robot with a set of sensors, actuators and a set of intelligent computational resources has for task to provide the user with such behavior as to maximize the user's happiness. We formalize the HSP as a Hidden Markov Chain and analytically provide a solution that is the base for the proposed algorithmic solution. We also describe the mechanism called Adaptive Functional-Module Selection (AFMS) as a method of controlling the robot agent. The AFMS is shown to be controlled by a probabilistic method as described in an example. Finally a machine learning approach is presented as a realistic solution to the HSP problem.

Original languageEnglish
Title of host publication2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide
Pages136-141
Number of pages6
DOIs
Publication statusPublished - Dec 1 2010
Event2010 2nd International Symposium on Aware Computing, ISAC 2010 - Sapporo, Japan
Duration: Nov 1 2010Nov 4 2010

Publication series

Name2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide

Other

Other2010 2nd International Symposium on Aware Computing, ISAC 2010
CountryJapan
CitySapporo
Period11/1/1011/4/10

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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    Lukac, M., & Kameyama, M. (2010). Emotion-aware probabilistic robotics. In 2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide (pp. 136-141). [5670464] (2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide). https://doi.org/10.1109/ISAC.2010.5670464