Bin-picking new approaches for a classical problem
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Format: | Elektronisch E-Book |
Sprache: | English |
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Cham
Springer International Publishing
[2016]
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Schriftenreihe: | Studies in systems, decision and control
volume 44 |
Schlagworte: | |
Online-Zugang: | DE-634 DE-1043 DE-1046 DE-Aug4 DE-573 DE-92 DE-898 DE-859 DE-861 DE-863 DE-862 DE-91 DE-706 URL des Erstveröffentlichers Inhaltsverzeichnis Abstract |
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245 | 1 | 0 | |a Bin-picking |b new approaches for a classical problem |c Dirk Buchholz |
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Datensatz im Suchindex
DE-BY-TUM_katkey | 2808338 |
---|---|
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adam_text | BIN-PICKING
/ BUCHHOLZ, DIRK
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION – AUTOMATION AND THE NEED FOR POSE ESTIMATION
BIN-PICKING – 5 DECADES OF RESEARCH
3D POINT CLOUD BASED POSE ESTIMATION
DEPTH MAP BASED POSE ESTIMATION
NORMAL MAP BASED POSE ESTIMATION
SUMMARY AND CONCLUSION
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
BIN-PICKING
/ BUCHHOLZ, DIRK
: 2016
ABSTRACT / INHALTSTEXT
THIS BOOK IS DEVOTED TO ONE OF THE MOST FAMOUS EXAMPLES OF AUTOMATION
HANDLING TASKS – THE “BIN-PICKING” PROBLEM. TO PICK UP OBJECTS,
SCRAMBLED IN A BOX IS AN EASY TASK FOR HUMANS, BUT ITS AUTOMATION IS
VERY COMPLEX. IN THIS BOOK THREE DIFFERENT APPROACHES TO SOLVE THE
BIN-PICKING PROBLEM ARE DESCRIBED, SHOWING HOW MODERN SENSORS CAN BE
USED FOR EFFICIENT BIN-PICKING AS WELL AS HOW CLASSIC SENSOR CONCEPTS
CAN BE APPLIED FOR NOVEL BIN-PICKING TECHNIQUES. 3D POINT CLOUDS ARE
FIRSTLY USED AS BASIS, EMPLOYING THE KNOWN RANDOM SAMPLE MATCHING
ALGORITHM PAIRED WITH A VERY EFFICIENT DEPTH MAP BASED COLLISION
AVOIDANCE MECHANISM RESULTING IN A VERY ROBUST BIN-PICKING APPROACH.
REDUCING THE COMPLEXITY OF THE SENSOR DATA, ALL COMPUTATIONS ARE THEN
DONE ON DEPTH MAPS. THIS ALLOWS THE USE OF 2D IMAGE ANALYSIS TECHNIQUES
TO FULFILL THE TASKS AND RESULTS IN REAL TIME DATA ANALYSIS. COMBINED
WITH FORCE/TORQUE AND ACCELERATION SENSORS, A NEAR TIME OPTIMAL
BIN-PICKING SYSTEM EMERGES. LASTLY, SURFACE NORMAL MAPS ARE EMPLOYED AS
A BASIS FOR POSE ESTIMATION. IN CONTRAST TO KNOWN APPROACHES, THE NORMAL
MAPS ARE NOT USED FOR 3D DATA COMPUTATION BUT DIRECTLY FOR THE OBJECT
LOCALIZATION PROBLEM, ENABLING THE APPLICATION OF A NEW CLASS OF SENSORS
FOR BIN-PICKING
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author | Buchholz, Dirk |
author_facet | Buchholz, Dirk |
author_role | aut |
author_sort | Buchholz, Dirk |
author_variant | d b db |
building | Verbundindex |
bvnumber | BV043211809 |
classification_rvk | ST 308 |
classification_tum | FER 988 |
collection | ZDB-2-ENG ZDB-4-NLEBK |
ctrlnum | (OCoLC)934152465 (DE-599)BVBBV043211809 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik Werkstoffwissenschaften / Fertigungstechnik |
doi_str_mv | 10.1007/978-3-319-26500-1 |
format | Electronic eBook |
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id | DE-604.BV043211809 |
illustrated | Illustrated |
indexdate | 2024-12-24T04:48:36Z |
institution | BVB |
isbn | 9783319265001 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028634947 |
oclc_num | 934152465 |
open_access_boolean | |
owner | DE-1043 DE-Aug4 DE-573 DE-859 DE-863 DE-BY-FWS DE-92 DE-862 DE-BY-FWS DE-898 DE-BY-UBR DE-634 DE-1046 DE-861 DE-706 DE-91G DE-BY-TUM |
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physical | 1 Online Ressource (xv, 117 Seiten) Illustrationen, Diagramme |
psigel | ZDB-2-ENG ZDB-4-NLEBK ZDB-2-ENG_2016 |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Springer International Publishing |
record_format | marc |
series | Studies in systems, decision and control |
series2 | Studies in systems, decision and control |
spellingShingle | Buchholz, Dirk Bin-picking new approaches for a classical problem Studies in systems, decision and control Engineering Artificial intelligence Image processing Computational intelligence Robotics Automation Computational Intelligence Robotics and Automation Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz |
title | Bin-picking new approaches for a classical problem |
title_auth | Bin-picking new approaches for a classical problem |
title_exact_search | Bin-picking new approaches for a classical problem |
title_full | Bin-picking new approaches for a classical problem Dirk Buchholz |
title_fullStr | Bin-picking new approaches for a classical problem Dirk Buchholz |
title_full_unstemmed | Bin-picking new approaches for a classical problem Dirk Buchholz |
title_short | Bin-picking |
title_sort | bin picking new approaches for a classical problem |
title_sub | new approaches for a classical problem |
topic | Engineering Artificial intelligence Image processing Computational intelligence Robotics Automation Computational Intelligence Robotics and Automation Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz |
topic_facet | Engineering Artificial intelligence Image processing Computational intelligence Robotics Automation Computational Intelligence Robotics and Automation Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz |
url | https://doi.org/10.1007/978-3-319-26500-1 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634947&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634947&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV041646147 |
work_keys_str_mv | AT buchholzdirk binpickingnewapproachesforaclassicalproblem |