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Bin-picking: new approaches for a classical problem

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Bibliographic Details
Main Author:	Buchholz, Dirk (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer International Publishing [2016]
Series:	Studies in systems, decision and control volume 44
Subjects:	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
Online Access:	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 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online Ressource (xv, 117 Seiten) Illustrationen, Diagramme
ISBN:	9783319265001
DOI:	10.1007/978-3-319-26500-1

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Record in the Search Index

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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.
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indexdate	2025-02-20T07:07:16Z
institution	BVB
isbn	9783319265001
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-028634947
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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

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