Robotic implementation of biological bayesian models for visuo-inertial image stabilization and gaze control

Jorge Lobo, João Filipe Ferreira, José Prado, Jorge Dias

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

1 Scopus citations

Abstract

Robotic implementations of gaze control and image stabilization have been previously proposed, that rely on fusing inertial and visual sensing modalities. Human and biological system also combine the two sensing modalities for the same goal. In this work we build upon these previous results and, with the contribution of psychophysical studies, attempt a more bio-inspired approach to the robotic implementation. Since Bayesian models have been successfully used to explain psychophysical experimental findings, we propose a robotic implementation using Bayesian inference.

Original languageBritish English
Title of host publication2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
PublisherIEEE Computer Society
Pages4203
Number of pages1
ISBN (Print)9781424420582
DOIs
StatePublished - 2008
Event2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS - Nice, France
Duration: 22 Sep 200826 Sep 2008

Publication series

Name2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Conference

Conference2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
Country/TerritoryFrance
CityNice
Period22/09/0826/09/08

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