Description |
1 online resource (xii, 564 pages) : illustrations (some color) |
Series |
Springer proceedings in advanced robotics, 2511-1264 ; 28 |
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Springer proceedings in advanced robotics, 2511-1264 28
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Contents |
Intro -- Foreword -- Preface -- Contents -- How Can We Understand Multi-Robot Systems? a User Study to Compare Implicit and Explicit Communication Modalities -- 1 Introduction -- 2 Methods -- 2.1 Communication Modalities -- 2.2 Experimental Task -- 2.3 Experimental Setup -- 2.4 Participants -- 2.5 Data Collection and Analysis -- 3 Results -- 3.1 Correctness of Responses -- 3.2 Response Time -- 3.3 Subjective Reporting -- 4 Conclusion -- References -- The Benefits of Interaction Constraints in Distributed Autonomous Systems -- 1 Introduction -- 2 Collective Learning in Multi-agent Systems |
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3 A Three-Valued Model for Collective Learning -- 4 Simulation Environment -- 5 The Networks Underlying Agent Interactions -- 6 Multi-agent Simulation Experiments -- 6.1 Convergence Results for Physical Networks -- 7 Constraining the Interaction Network -- 7.1 Convergence Results for Constrained Interaction Networks -- 8 Conclusion and Future Work -- References -- Outlining the Design Space of eXplainable Swarm (xSwarm): Experts' Perspective -- 1 Introduction -- 2 Background and Related Work -- 3 Background and Related Work -- 3.1 Participants -- 3.2 Study Procedure and Design -- 3.3 Analysis |
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4 Results -- 4.1 Explanation Categories -- 4.2 Challenges Faced by Swarm Experts -- 5 Conclusion -- References -- VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning -- 1 Introduction -- 2 Related Work -- 3 The VMAS Platform -- 4 Multi-robot Scenarios -- 5 Comparison with MPE -- 6 Experiments and Benchmarks -- 7 Conclusion -- References -- FLAM: Fault Localization and Mapping -- 1 Introduction -- 2 Related Work and Background -- 2.1 Fault Detection -- 2.2 Risk Awareness -- 2.3 Distributed Storage -- 3 System Model -- 3.1 Risk Modelling -- 3.2 Feature Vectors |
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3.3 Fault Detection -- 3.4 Distributed Belief Map -- 3.5 Implementation -- 4 Simulations -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion -- References -- Social Exploration in Robot Swarms -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Simulation and Local Swarm Behaviours -- 3.2 Generating Random Environments -- 3.3 Agents with ̀̀Happiness'' -- 3.4 Social Exploration Algorithm -- 4 Results -- 4.1 Performance in Randomly Generated Environments -- 5 Conclusions and Future Work -- References |
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Stochastic Nonlinear Ensemble Modeling and Control for Robot Team Environmental Monitoring -- 1 Introduction -- 2 Problem Formulation -- 2.1 Task Topology -- 2.2 Ensemble Model -- 3 Ensemble Model Control -- 3.1 Feedback Controller -- 3.2 Distributed Microscopic Algorithm -- 4 Simulation and Experimental Setup -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- A Decentralized Cooperative Approach to Gentle Human Transportation with Mobile Robots Based on Tactile Feedback -- 1 Introduction -- 2 Methodology -- 2.1 Flexible Tactile Sensors and Methods of Acquiring Force Information |
Summary |
This book of the SPAR series contains 39 scientific articles presented in the Distributed Autonomous Robotic Systems conference organized in November 28-30, 2022, in Montbéliard, France. The contributions are covering a broad scope of topics within distributed robotics including mobile sensor networks, unmanned aerial vehicles, multi-agent systems, algorithms for multi-robot systems, modular robots, swarm robotics, and reinforcement learning or deep learning applied to multi-robot systems |
Notes |
Online resource; title from PDF title page (SpringerLink, viewed February 9, 2024) |
Subject |
Autonomous robots -- Congresses
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Form |
Electronic book
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Author |
Bourgeois, Julien, editor
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Paik, Jamie, editor
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Piranda, Benoît, editor
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Werfel, Justin, editor
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Hauert, Sabine, editor
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Pierson, Alyssa, editor
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Hamann, Heiko, editor
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Lam, Tin Lun, editor
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Matsuno, Fumitoshi, editor
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Mehr, Negar, editor
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Makhoul, Abdallah, editor
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ISBN |
9783031514975 |
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3031514971 |
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