Overcoming the network problem in telepresence systems with prediction and inertia:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
München
Utz
2008
|
| Schriftenreihe: | Forschungsberichte IWB
205 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: München, Techn. Univ., Diss., 2006 u.d.T.: Clarke-Griebsch, Stella: Overcoming network delays in telepresence systems with prediction inertia |
| Beschreibung: | XIV, 127 S. Ill., graph. Darst. 21 cm |
| ISBN: | 9783831607013 383160701X |
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Datensatz im Suchindex
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|---|---|
| adam_text | GESCANNT DURCH CONTENTS CONTENTS INTRODUCTION 1.1 TELEPRESENCE SYSTEMS
1.1.1 TELEOPERATOR 1.1.2 OPERATOR 1.1.3 COMMUNICATION LAYER 1.2
TELEPRESENCE APPLICATIONS 1.3 THE NETWORK DELAY PROBLEM 1.4
COMMUNICATION NETWORKS 1.4.1 DEFINITIONS 1.4.2 COMMUNICATION HARDWARE
1.4.3 COMMUNICATION SOFTWARE 1.4.4 PROBLEM SOURCES IN COMMUNICATION
NETWORKS 1.5 RESEARCH GOALS 1.6 OVERVIEW OF THE THESIS STRUCTURE
PREVIOUS WORK 2.1 OVERVIEW OFEXISTING RESEARCH 2.2 ANALYSIS OF THE TIME
DELAY PROBLEM 2.2.1 TYPICAL NETWORK DELAY TIMES 2.2.2 EFFECT OF TIME
DELAY ON TELEPRESENCE 2.3 OVERCOMING THE TIME DELAY PROBLEM 2.3.1
PREDICTIVE DISPLAYS 2.3.2 CONTROL METHODS 2.3.3 MOVEMENT PREDICTION 2.4
INERTIAL CONSIDERATIONS IN HAPTICS 2.5 EVALUATION OF CURRENT RESEARCH
STAND 1 1 2 2 3 4 5 5 6 7 12 14 15 16 19 19 20 20 21 21 21 23 24 26 26
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/98346541X DIGITALISIERT
DURCH 97 CONTENTS -* 3 RESEARCH QUESTION 1: INERTIAL INFLUENCE 29 3.1
OVERVIEW 3.2 INERTIA IN HAPTIC DEVICES 30 3.2.1 DEFINITION OF INERTIA 30
3.2.2 SIMULATING INERTIA IN HAPTIC DEVICES 30 3.3 MOTIVATION FOR INERTIA
CONSIDERATIONS 32 3.3.1 INCREASED DYNAMIC DATA SMOOTHNESS 32 3.3.2
REDUCED CHOPPINESS IN OPERATOR MOVEMENTS 33 3.4 EXPERIMENTAL DESIGN 33
3.4.1 INITIAL EXPERIMENT: HUMAN SENSITIVITY ANALYSIS 35 3.4.2 MAIN
EXPERIMENT: INFLUENCE OF INERTIA ON OPERATOR PERFORMANCE 40 3.5
EXPERIMENTAL RESULTS 54 3.5.1 INITIAL EXPERIMENT -* 3.5.2 MAIN
EXPERIMENT 56 3.6 SECTION CONCLUSION 4 RESEARCH QUESTION 2: AN
OPTIMAL ALGORITHMIC IMPLEMENTATION 63 4.1 INTRODUCTION 63 4.2 OVERVIEW
OF ALGORITHMIC APPROACHES 4.2.1 CHARACTERISTICS OF AN OPTIMAL
ALGORITHM 4.2.2 CONSIDERED ALGORITHMS AND IMPLEMENTATIONS 66 4.3
INTRODUCTION TO SELECTED ALGORITHMS 68 4.3.1 FILTER TECHNIQUES AND THE
KAIMAN FILTER 68 4.3.2 DOUBLE EXPONENTIAL SMOOTHING 4.3.3 NEURAL
NETWORKS 77 4.3.4 SUPPORT VECTOR REGRESSION **2 4.3.5 SUMMARY OF
ALGORITHMS 4.4 EXPERIMENTAL PROCEDURE 4.4.1 ALGORITHMIC IMPLEMENTATIONS
4.4.2 COMBINED PREDICTION AND DEADBAND ^ 4.5 EXPERIMENTAL RESULTS
4.5.1 OPTIMAL ALGORITHM BIBLIOGRAPH} 119 CONTENTS 4.5.2 COMBINED
DEADBAND AND PREDICTION 98 4.6 SECTION CONCLUSION 102 5 EVALUATION 103
5.1 OVERVIEW 103 5.1.1 HARDWARE 103 5.1.2 SOFTWARE 106 5.1.3
EXPERIMENTAL PROCEDURE 107 5.2 EXPERIMENTAL RESULTS 108 5.2.1 PREDICTION
FOR DELAY COMPENSATION 108 5.2.2 PREDICTION FOR COMPRESSION 112 5.3
DISCUSSION OF RESULTS 112 5.3.1 ANALYSIS OF PREDICTION TIME 113 5.3.2
OVERSHOOTING 114 5.4 SECTION CONCLUSION 116 6 CONCLUSIONS AND FUTURE
WORK 117
|
| adam_txt |
GESCANNT DURCH CONTENTS CONTENTS INTRODUCTION 1.1 TELEPRESENCE SYSTEMS
1.1.1 TELEOPERATOR 1.1.2 OPERATOR 1.1.3 COMMUNICATION LAYER 1.2
TELEPRESENCE APPLICATIONS 1.3 THE NETWORK DELAY PROBLEM 1.4
COMMUNICATION NETWORKS 1.4.1 DEFINITIONS 1.4.2 COMMUNICATION HARDWARE
1.4.3 COMMUNICATION SOFTWARE 1.4.4 PROBLEM SOURCES IN COMMUNICATION
NETWORKS 1.5 RESEARCH GOALS 1.6 OVERVIEW OF THE THESIS STRUCTURE
PREVIOUS WORK 2.1 OVERVIEW OFEXISTING RESEARCH 2.2 ANALYSIS OF THE TIME
DELAY PROBLEM 2.2.1 TYPICAL NETWORK DELAY TIMES 2.2.2 EFFECT OF TIME
DELAY ON TELEPRESENCE 2.3 OVERCOMING THE TIME DELAY PROBLEM 2.3.1
PREDICTIVE DISPLAYS 2.3.2 CONTROL METHODS 2.3.3 MOVEMENT PREDICTION 2.4
INERTIAL CONSIDERATIONS IN HAPTICS 2.5 EVALUATION OF CURRENT RESEARCH
STAND 1 1 2 2 3 4 5 5 6 7 12 14 15 16 19 19 20 20 21 21 21 23 24 26 26
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/98346541X DIGITALISIERT
DURCH 97 CONTENTS -* 3 RESEARCH QUESTION 1: INERTIAL INFLUENCE 29 3.1
OVERVIEW 3.2 INERTIA IN HAPTIC DEVICES 30 3.2.1 DEFINITION OF INERTIA 30
3.2.2 SIMULATING INERTIA IN HAPTIC DEVICES 30 3.3 MOTIVATION FOR INERTIA
CONSIDERATIONS 32 3.3.1 INCREASED DYNAMIC DATA SMOOTHNESS 32 3.3.2
REDUCED CHOPPINESS IN OPERATOR MOVEMENTS 33 3.4 EXPERIMENTAL DESIGN 33
3.4.1 INITIAL EXPERIMENT: HUMAN SENSITIVITY ANALYSIS 35 3.4.2 MAIN
EXPERIMENT: INFLUENCE OF INERTIA ON OPERATOR PERFORMANCE 40 3.5
EXPERIMENTAL RESULTS 54 3.5.1 INITIAL EXPERIMENT -* 3.5.2 MAIN
EXPERIMENT 56 3.6 SECTION CONCLUSION "' 4 RESEARCH QUESTION 2: AN
OPTIMAL ALGORITHMIC IMPLEMENTATION 63 4.1 INTRODUCTION 63 4.2 OVERVIEW
OF ALGORITHMIC APPROACHES "" 4.2.1 CHARACTERISTICS OF AN OPTIMAL
ALGORITHM "" 4.2.2 CONSIDERED ALGORITHMS AND IMPLEMENTATIONS 66 4.3
INTRODUCTION TO SELECTED ALGORITHMS 68 4.3.1 FILTER TECHNIQUES AND THE
KAIMAN FILTER 68 4.3.2 DOUBLE EXPONENTIAL SMOOTHING 4.3.3 NEURAL
NETWORKS 77 4.3.4 SUPPORT VECTOR REGRESSION **2 4.3.5 SUMMARY OF
ALGORITHMS 4.4 EXPERIMENTAL PROCEDURE 4.4.1 ALGORITHMIC IMPLEMENTATIONS
4.4.2 COMBINED PREDICTION AND DEADBAND ^ 4.5 EXPERIMENTAL RESULTS "
4.5.1 OPTIMAL ALGORITHM BIBLIOGRAPH}' 119 CONTENTS 4.5.2 COMBINED
DEADBAND AND PREDICTION 98 4.6 SECTION CONCLUSION 102 5 EVALUATION 103
5.1 OVERVIEW 103 5.1.1 HARDWARE 103 5.1.2 SOFTWARE 106 5.1.3
EXPERIMENTAL PROCEDURE 107 5.2 EXPERIMENTAL RESULTS 108 5.2.1 PREDICTION
FOR DELAY COMPENSATION 108 5.2.2 PREDICTION FOR COMPRESSION 112 5.3
DISCUSSION OF RESULTS 112 5.3.1 ANALYSIS OF PREDICTION TIME 113 5.3.2
OVERSHOOTING 114 5.4 SECTION CONCLUSION 116 6 CONCLUSIONS AND FUTURE
WORK 117 |
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| discipline_str_mv | Maschinenbau / Maschinenwesen Technik Kommunikationswesen Elektrotechnik Fertigungstechnik Arbeitswissenschaften Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
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| spelling | Clarke-Griebsch, Stella Verfasser aut Overcoming the network problem in telepresence systems with prediction and inertia Stella Clarke-Griebsch München Utz 2008 XIV, 127 S. Ill., graph. Darst. 21 cm txt rdacontent n rdamedia nc rdacarrier Forschungsberichte IWB 205 Zugl.: München, Techn. Univ., Diss., 2006 u.d.T.: Clarke-Griebsch, Stella: Overcoming network delays in telepresence systems with prediction inertia Telemanipulator (DE-588)4513105-3 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf Verzögerungszeit (DE-588)4400439-4 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Telemanipulator (DE-588)4513105-3 s Mensch-Maschine-Kommunikation (DE-588)4125909-9 s Verzögerungszeit (DE-588)4400439-4 s DE-604 Forschungsberichte IWB 205 (DE-604)BV013140727 205 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016486424&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Clarke-Griebsch, Stella Overcoming the network problem in telepresence systems with prediction and inertia Forschungsberichte IWB Telemanipulator (DE-588)4513105-3 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd Verzögerungszeit (DE-588)4400439-4 gnd |
| subject_GND | (DE-588)4513105-3 (DE-588)4125909-9 (DE-588)4400439-4 (DE-588)4113937-9 |
| title | Overcoming the network problem in telepresence systems with prediction and inertia |
| title_auth | Overcoming the network problem in telepresence systems with prediction and inertia |
| title_exact_search | Overcoming the network problem in telepresence systems with prediction and inertia |
| title_exact_search_txtP | Overcoming the network problem in telepresence systems with prediction and inertia |
| title_full | Overcoming the network problem in telepresence systems with prediction and inertia Stella Clarke-Griebsch |
| title_fullStr | Overcoming the network problem in telepresence systems with prediction and inertia Stella Clarke-Griebsch |
| title_full_unstemmed | Overcoming the network problem in telepresence systems with prediction and inertia Stella Clarke-Griebsch |
| title_short | Overcoming the network problem in telepresence systems with prediction and inertia |
| title_sort | overcoming the network problem in telepresence systems with prediction and inertia |
| topic | Telemanipulator (DE-588)4513105-3 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd Verzögerungszeit (DE-588)4400439-4 gnd |
| topic_facet | Telemanipulator Mensch-Maschine-Kommunikation Verzögerungszeit Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016486424&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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| work_keys_str_mv | AT clarkegriebschstella overcomingthenetworkproblemintelepresencesystemswithpredictionandinertia |