Optimizing gaze direction in a visual navigation task

Tuomas Välimäki, Risto Ritala

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

    3 Citations (Scopus)
    56 Downloads (Pure)


    Navigation in an unknown environment consists of multiple separable subtasks, such as collecting information about the surroundings and navigating to the current goal. In the case of pure visual navigation, all these subtasks need to utilize the same vision system, and therefore a way to optimally control the direction of focus is needed. We present a case study, where we model the active sensing problem of directing the gaze of a mobile robot with three machine vision cameras as a partially observable Markov decision process (POMDP) using a mutual information (MI) based reward function. The key aspect of the solution is that the cameras are dynamically used either in monocular or stereo configuration. The benefits of using the proposed active sensing implementation are demonstrated with simulations and experiments on a real robot.

    Original languageEnglish
    Title of host publication2016 IEEE International Conference on Robotics and Automation (ICRA)
    Number of pages6
    ISBN (Print)9781467380263
    Publication statusPublished - 8 Jun 2016
    Publication typeA4 Article in conference proceedings
    EventIEEE International Conference on Robotics and Automation -
    Duration: 1 Jan 19001 Jan 2000

    Publication series

    ISSN (Print)2152-4092


    ConferenceIEEE International Conference on Robotics and Automation

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence
    • Control and Systems Engineering
    • Electrical and Electronic Engineering


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