An approach to human behavior adaptable collaborative robot workplace design

Tadele Belay Tuli

doi:10.51202/9783186713025

Zusammenfassung

Studies show that collaborative robots that can explain in real time what a human is doing and the passive underlying intention are likely to be positively perceived by human workers. In this respect, a seamless flow of information between human and machine systems in realtime is expected. This will push future collaborative robots‘ ability to work with humans at higher collaboration levels, including real cooperation or responsive collaboration with humans. This is crucial for collaborative robot applications to be used not in a similar way traditional industrial robots are used, i.e., rather than replacing humans engaging in real collaboration with them. Therefore, this work presents a bottom-up method for collaborative robot workplace design that uses models of individual human attention, intention, and action for cycle time synchronization to improve the performance of action prediction in planning the collaborative robot workplace design process. Contents Abbreviations and Acronyms VIII Symbols X Abstract XI Zusammenfassung XII 1 Introduction 1 1.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Human individual collaborative ...

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Bibliographische Angaben

Copyrightjahr: 2024
ISBN-Print: 978-3-18-371302-8
ISBN-Online: 978-3-18-671302-5
Verlag: VDI Verlag, Düsseldorf
Reihe: Fertigungstechnik
Band: 713
Sprache: Deutsch
Seiten: 210
Produkttyp: Monographie

Inhaltsverzeichnis

KapitelSeiten

Titelei/Inhaltsverzeichnis Kein Zugriff Seiten I - XII
1. Overview Kein Zugriff
2. 1. Collaborative robot workplace design principle Kein Zugriff
3. Motivation Kein Zugriff
4. Objective Kein Zugriff
5. Structure and organization Kein Zugriff
1. 1. Top down collaborative robot workplace design approach Kein Zugriff
  2. Bottom up collaborative robot workplace design approach Kein Zugriff
  3. Outside-in collaborative robot workplace design approach Kein Zugriff
2. 1. Digital human modeling Kein Zugriff
  2. Digital collaborative robot modeling Kein Zugriff
  3. Workplace components design and model Kein Zugriff
3. 1. Motion time based human activity models Kein Zugriff
  2. Task-based building-block human activity models Kein Zugriff
  3. Space-time based human activity models Kein Zugriff
  4. Stochastic based human activity models Kein Zugriff
  5. Rules-based human activity models Kein Zugriff
  6. Anticipatory human action model Kein Zugriff
1. iCRoWD method description Kein Zugriff
2. 1. Concept of AIA formulation Kein Zugriff
  2. AIA modeling and mapping Kein Zugriff
  3. Temporal integration Kein Zugriff
  4. Adaptability analysis - capability, reach and collision Kein Zugriff
1. Physical and digital workplace setup Kein Zugriff
2. 1. Motion capturing system set-up Kein Zugriff
  2. Motion capture systems interface Kein Zugriff
3. 1. iCRoWD approach Kein Zugriff
  2. Simulation approach Kein Zugriff
4. 1. Measures definition Kein Zugriff
  2. KPI definition Kein Zugriff
1. Test scenario overview Kein Zugriff
2. Scenario I: Pick and place operation for sorting parts in lab environment Kein Zugriff
3. Scenario II: Fixture assembly in lab environment Kein Zugriff
4. Scenario III: Industrial automotive gas tight hose assembly (non- experienced worker) Kein Zugriff
5. Scenario IV: Industrial automotive gas tight hose assembly (experienced worker) Kein Zugriff
6. Action duration evaluation Kein Zugriff
7. Adaptability analysis for collaborative robot workplace based on result summary Kein Zugriff
8. Result validation and verification Kein Zugriff
1. Result interpretation Kein Zugriff
2. Individualized human behavior analysis Kein Zugriff
3. Collaborative robot workplace adaptation Kein Zugriff
4. Potentials and limitations of iCRoWD Kein Zugriff
1. Conclusion Kein Zugriff
2. 1. 1. Terminologies in human action identification Kein Zugriff
    2. Digital twin for modeling for collaborative robot workplaces Kein Zugriff
    3. Systematic literature analysis for human action modeling and simulation Kein Zugriff
    4. Extended test and verification of the iCRoWD method Kein Zugriff
    5. Gaze analysis Kein Zugriff
    6. HAROPP: Human activity recognition based on probabilistic partition Kein Zugriff
    7. MOSIM approach for human motion simulation Kein Zugriff
    8. HARNets: Deep learning based memory networks for human action recog- nition Kein Zugriff
    9. Relevant standards and lists of some industrial collaborative robots Kein Zugriff
Bibliography Kein Zugriff Seiten 179 - 210