Probabilistic Approaches to Robotic Perception:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
2014
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Schriftenreihe: | Springer Tracts in Advanced Robotics
91 |
Schlagworte: | |
Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Abstract |
Beschreibung: | 1 Online-Ressource (XXX, 242 p.) 89 illus., 79 illus. in color |
ISBN: | 9783319020068 |
DOI: | 10.1007/978-3-319-02006-8 |
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Datensatz im Suchindex
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adam_text | PROBABILISTIC APPROACHES TO ROBOTIC PERCEPTION
/ FERREIRA, JOAO FILIPE
: 2014
ABSTRACT / INHALTSTEXT
THIS BOOK TRIES TO ADDRESS THE FOLLOWING QUESTIONS: HOW SHOULD THE
UNCERTAINTY AND INCOMPLETENESS INHERENT TO SENSING THE ENVIRONMENT BE
REPRESENTED AND MODELLED IN A WAY THAT WILL INCREASE THE AUTONOMY OF A
ROBOT? HOW SHOULD A ROBOTIC SYSTEM PERCEIVE, INFER, DECIDE AND ACT
EFFICIENTLY? THESE ARE TWO OF THE CHALLENGING QUESTIONS ROBOTICS
COMMUNITY AND ROBOTIC RESEARCHERS HAVE BEEN FACING. THE DEVELOPMENT OF
ROBOTIC DOMAIN BY THE 1980S SPURRED THE CONVERGENCE OF AUTOMATION TO
AUTONOMY, AND THE FIELD OF ROBOTICS HAS CONSEQUENTLY CONVERGED TOWARDS
THE FIELD OF ARTIFICIAL INTELLIGENCE (AI). SINCE THE END OF THAT DECADE,
THE GENERAL PUBLIC’S IMAGINATION HAS BEEN STIMULATED BY HIGH
EXPECTATIONS ON AUTONOMY, WHERE AI AND ROBOTICS TRY TO SOLVE DIFFICULT
COGNITIVE PROBLEMS THROUGH ALGORITHMS DEVELOPED FROM EITHER
PHILOSOPHICAL AND ANTHROPOLOGICAL CONJECTURES OR INCOMPLETE NOTIONS OF
COGNITIVE REASONING. MANY OF THESE DEVELOPMENTS DO NOT UNVEIL EVEN A FEW
OF THE PROCESSES THROUGH WHICH BIOLOGICAL ORGANISMS SOLVE THESE SAME
PROBLEMS WITH LITTLE ENERGY AND COMPUTING RESOURCES. THE TANGIBLE
RESULTS OF THIS RESEARCH TENDENCY WERE MANY ROBOTIC DEVICES
DEMONSTRATING GOOD PERFORMANCE, BUT ONLY UNDER WELL-DEFINED AND
CONSTRAINED ENVIRONMENTS. THE ADAPTABILITY TO DIFFERENT AND MORE COMPLEX
SCENARIOS WAS VERY LIMITED. IN THIS BOOK, THE APPLICATION OF BAYESIAN
MODELS AND APPROACHES ARE DESCRIBED IN ORDER TO DEVELOP ARTIFICIAL
COGNITIVE SYSTEMS THAT CARRY OUT COMPLEX TASKS IN REAL WORLD
ENVIRONMENTS, SPURRING THE DESIGN OF AUTONOMOUS, INTELLIGENT AND
ADAPTIVE ARTIFICIAL SYSTEMS, INHERENTLY DEALING WITH UNCERTAINTY AND THE
“IRREDUCIBLE INCOMPLETENESS OF MODELS”
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author | Ferreira, João Filipe |
author_facet | Ferreira, João Filipe |
author_role | aut |
author_sort | Ferreira, João Filipe |
author_variant | j f f jf jff |
building | Verbundindex |
bvnumber | BV041470980 |
collection | ZDB-2-ENG |
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dewey-full | 629.892 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 629 - Other branches of engineering |
dewey-raw | 629.892 |
dewey-search | 629.892 |
dewey-sort | 3629.892 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
doi_str_mv | 10.1007/978-3-319-02006-8 |
format | Electronic eBook |
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illustrated | Illustrated |
indexdate | 2024-08-01T10:56:00Z |
institution | BVB |
isbn | 9783319020068 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026917123 |
oclc_num | 874381623 |
open_access_boolean | |
owner | DE-Aug4 DE-92 DE-634 DE-859 DE-898 DE-BY-UBR DE-573 DE-861 DE-706 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
owner_facet | DE-Aug4 DE-92 DE-634 DE-859 DE-898 DE-BY-UBR DE-573 DE-861 DE-706 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
physical | 1 Online-Ressource (XXX, 242 p.) 89 illus., 79 illus. in color |
psigel | ZDB-2-ENG |
publishDate | 2014 |
publishDateSearch | 2014 |
publishDateSort | 2014 |
record_format | marc |
series | Springer Tracts in Advanced Robotics |
series2 | Springer Tracts in Advanced Robotics |
spellingShingle | Ferreira, João Filipe Probabilistic Approaches to Robotic Perception Springer Tracts in Advanced Robotics Engineering Artificial intelligence Computer vision Consciousness Robotics and Automation Artificial Intelligence (incl. Robotics) Cognitive Psychology Image Processing and Computer Vision Signal, Image and Speech Processing Ingenieurwissenschaften Künstliche Intelligenz |
title | Probabilistic Approaches to Robotic Perception |
title_auth | Probabilistic Approaches to Robotic Perception |
title_exact_search | Probabilistic Approaches to Robotic Perception |
title_full | Probabilistic Approaches to Robotic Perception by João Filipe Ferreira, Jorge Miranda Dias |
title_fullStr | Probabilistic Approaches to Robotic Perception by João Filipe Ferreira, Jorge Miranda Dias |
title_full_unstemmed | Probabilistic Approaches to Robotic Perception by João Filipe Ferreira, Jorge Miranda Dias |
title_short | Probabilistic Approaches to Robotic Perception |
title_sort | probabilistic approaches to robotic perception |
topic | Engineering Artificial intelligence Computer vision Consciousness Robotics and Automation Artificial Intelligence (incl. Robotics) Cognitive Psychology Image Processing and Computer Vision Signal, Image and Speech Processing Ingenieurwissenschaften Künstliche Intelligenz |
topic_facet | Engineering Artificial intelligence Computer vision Consciousness Robotics and Automation Artificial Intelligence (incl. Robotics) Cognitive Psychology Image Processing and Computer Vision Signal, Image and Speech Processing Ingenieurwissenschaften Künstliche Intelligenz |
url | https://doi.org/10.1007/978-3-319-02006-8 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026917123&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV019551493 |
work_keys_str_mv | AT ferreirajoaofilipe probabilisticapproachestoroboticperception AT mirandadiasjorge probabilisticapproachestoroboticperception |