Designing Socially Aware Robot Motion. A Dynamical Systems Approach

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Designing Socially Aware Robot Motion. A Dynamical Systems Approach (2026), Logos Verlag, Berlin, ISBN: 9783832580735
Inhaltsverzeichnis
- BEGINN
- Abstract
- List of Figures
- List of Tables
- 1 Introduction
- 1.1 Research Context
- 1.2 Socially Aware Navigation
- 1.3 Research Challenges in Socially Aware Navigation
- 1.4 Contributions and Outline
- 2 Related Work
- 2.1 Survey Works on SAN
- 2.2 Motion Planning Methods for Social Navigation
- 2.3 Integrating Social Awareness into Motion Planning
- 2.4 Evaluation Methodologies in SAN
- 2.5 Summary and Discussion
- 3 Background
- 3.1 Core Concepts and Factors of Socially Aware Navigation
- 3.2 Collision Avoidance using Dynamical System Modulation
- 3.3 An Analytical View of DSM for Socially Aware Navigation
- 3.4 Summary
- 4 Framework 1: Social Inference Modulated DSM (SIM-DSM)
- 4.1 Social Inference Model for Intent-Aware Planning
- 4.2 The SIM-DSM Framework
- 4.3 Simulation Study
- 4.4 Summary
- 5 Experimental Validation and Evaluation of SIM-DSM
- 5.1 Introduction
- 5.2 Experiment Setup
- 5.3 Validation of the SIM-DSM Framework
- 5.4 Subjective Participant Feedback
- 5.5 Discussion
- 6 Framework 2: Opinion Dynamics-based DSM (OD-DSM)
- 6.1 Basic Idea of Opinion Dynamics
- 6.2 The OD-DSM Framework
- 6.3 Simulation Study
- 6.4 Summary
- 7 Experimental Validation and Evaluation of OD-DSM
- 7.1 Experiment Setup
- 7.2 Objective Validation of OD-DSM Framework
- 7.3 Subjective Participant Feedback
- 7.4 Comparison of SIM-DSM and OD-DSM
- 7.5 Summary
- 8 Conclusions and Future Work
- 8.1 Conclusions
- 8.2 Limitations and Future Work
- A Appendix
- A.1 Statistics of the Participant Feedback
- A.2 Mobile Platform for Experimental Validation
- A.3 Software Architecture
- A.4 Human Motion Tracking
- A.5 Participant Demographics
- A.6 Image Credits
- Bibliography
- Zusammenfassung
- Publications and Supervised Theses