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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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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 |
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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 |