Cargando…

Revisiting active perception

Despite the recent successes in robotics, artificial intelligence and computer vision, a complete artificial agent necessarily must include active perception. A multitude of ideas and methods for how to accomplish this have already appeared in the past, their broader utility perhaps impeded by insuf...

Descripción completa

Detalles Bibliográficos
Autores principales: Bajcsy, Ruzena, Aloimonos, Yiannis, Tsotsos, John K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954017/
https://www.ncbi.nlm.nih.gov/pubmed/31983809
http://dx.doi.org/10.1007/s10514-017-9615-3
_version_ 1783486719077646336
author Bajcsy, Ruzena
Aloimonos, Yiannis
Tsotsos, John K.
author_facet Bajcsy, Ruzena
Aloimonos, Yiannis
Tsotsos, John K.
author_sort Bajcsy, Ruzena
collection PubMed
description Despite the recent successes in robotics, artificial intelligence and computer vision, a complete artificial agent necessarily must include active perception. A multitude of ideas and methods for how to accomplish this have already appeared in the past, their broader utility perhaps impeded by insufficient computational power or costly hardware. The history of these ideas, perhaps selective due to our perspectives, is presented with the goal of organizing the past literature and highlighting the seminal contributions. We argue that those contributions are as relevant today as they were decades ago and, with the state of modern computational tools, are poised to find new life in the robotic perception systems of the next decade.
format Online
Article
Text
id pubmed-6954017
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-69540172020-01-23 Revisiting active perception Bajcsy, Ruzena Aloimonos, Yiannis Tsotsos, John K. Auton Robots Article Despite the recent successes in robotics, artificial intelligence and computer vision, a complete artificial agent necessarily must include active perception. A multitude of ideas and methods for how to accomplish this have already appeared in the past, their broader utility perhaps impeded by insufficient computational power or costly hardware. The history of these ideas, perhaps selective due to our perspectives, is presented with the goal of organizing the past literature and highlighting the seminal contributions. We argue that those contributions are as relevant today as they were decades ago and, with the state of modern computational tools, are poised to find new life in the robotic perception systems of the next decade. Springer US 2017-02-15 2018 /pmc/articles/PMC6954017/ /pubmed/31983809 http://dx.doi.org/10.1007/s10514-017-9615-3 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Bajcsy, Ruzena
Aloimonos, Yiannis
Tsotsos, John K.
Revisiting active perception
title Revisiting active perception
title_full Revisiting active perception
title_fullStr Revisiting active perception
title_full_unstemmed Revisiting active perception
title_short Revisiting active perception
title_sort revisiting active perception
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954017/
https://www.ncbi.nlm.nih.gov/pubmed/31983809
http://dx.doi.org/10.1007/s10514-017-9615-3
work_keys_str_mv AT bajcsyruzena revisitingactiveperception
AT aloimonosyiannis revisitingactiveperception
AT tsotsosjohnk revisitingactiveperception