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

Jorge Lobo, João Filipe Ferreira, Jorge Dias

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

6 Scopus citations

Abstract

Robotic implementations of gaze control and image stabilization have been previously proposed, that rely on fusing inertial and visual sensing modalities. They are bioinspired in the sense that 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 biomimetic 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 International Conference on Robotics and Biomimetics, ROBIO 2008
PublisherIEEE Computer Society
Pages443-448
Number of pages6
ISBN (Print)9781424426799
DOIs
StatePublished - 2009
Event2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 - Bangkok, Thailand
Duration: 21 Feb 200926 Feb 2009

Publication series

Name2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008

Conference

Conference2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
Country/TerritoryThailand
CityBangkok
Period21/02/0926/02/09

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