Reinforcement learning for computer vision and robot navigation

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

    12 Citations (Scopus)

    Abstract

    Nowadays, machine learning has become one of the basic technologies used in solving various computer vision tasks such as feature detection, image segmentation, object recognition and tracking. In many applications, various complex systems such as robots are equipped with visual sensors from which they learn the state of a surrounding environment by solving corresponding computer vision tasks. Solutions of these tasks are used for making decisions about possible future actions. Reinforcement learning is one of the modern machine learning technologies in which learning is carried out through interaction with the environment. In recent years, reinforcement learning has been used both for solving robotic computer vision problems such as object detection, visual tracking and action recognition as well as robot navigation. The paper describes shortly the reinforcement learning technology and its use for computer vision and robot navigation problems.

    Original languageEnglish
    Title of host publicationMachine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, Proceedings
    EditorsPetra Perner
    PublisherSpringer Verlag
    Pages258-272
    Number of pages15
    ISBN (Print)9783319961323
    DOIs
    Publication statusPublished - 2018
    Event14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018 - New York, United States
    Duration: 15 Jul 201819 Jul 2018

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10935 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018
    Country/TerritoryUnited States
    CityNew York
    Period15/07/1819/07/18

    Keywords

    • Computer vision
    • Reinforcement learning
    • Robot navigation

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