A Bayesian model for approaching a human

E. Torta, R.H. Cuijpers, J.F. Juola

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

1 Citation (Scopus)


With the growing need for elder care, research is focusing on robotic assistance at home. Thus, robots must navigate in cluttered, domestic, indoor environments with the purpose of interacting with a person. Here we present a behaviour based navigation model enhanced with a low level decision making process that allows the robot to approach a human in such an environment. The model has been tested on simulation and the first results show the effectiveness of the Bayesian decision making process.
Original languageEnglish
Title of host publicationProceedings of the 28th Annual European Conference on Cognitive Ergonomics (ECCE 2010), 25-27 August 2010, Delft, the Netherlands
EditorsM. Neerincx, W.P. Brinkman
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
ISBN (Print)978-1-60558-946-6
Publication statusPublished - 2010
Event28th European Conference on Cognitive Ergonomics (ECCE 2010) - Delft, Netherlands
Duration: 25 Aug 201027 Aug 2010
Conference number: 28


Conference28th European Conference on Cognitive Ergonomics (ECCE 2010)
Abbreviated titleECCE 2010
Internet address


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