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Testability of a swarm robot using a system of systems approach and discrete event simulation
2010
2010 5th International Conference on System of Systems Engineering
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Using a System of Systems Approach and Discrete Event Simulation Matthew R. ...
Ferat Sahin A simulation framework using discrete event system specification (DEVS) and data encoded with Extensible Markup Language (XML) is presented to support agent-inthe-loop (AIL) simulations for ...
The new framework bridges simulation and implementation through the use of a discrete event based system of systems approach to agent-in-the-loop simulation. ...
doi:10.1109/sysose.2010.5544074
dblp:conf/sysose/HoskingS10
fatcat:mslqbfp2cfcjrmixa6i7loqeve
Towards adaptive multi-robot systems: self-organization and self-adaptation
2018
Knowledge engineering review (Print)
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We discuss these approaches in the light of a framework for multi-robot systems and identify similarities, differences missing links and open gaps that have to be addressed in order to make this framework ...
In this article, we present a comprehensive overview over state-of-the-art solutions in emergent systems, self-organization, self-adaptation, and robotics. ...
Acknowledgement The authors thank all reviewers and editors for comments that greatly improved the manuscript. ...
doi:10.1017/s0269888918000176
fatcat:ryxqd3qmkbe7xeg5cok43wrs7m
Ethical Mission Definition and Execution for Maritime Robots Under Human Supervision
2018
IEEE Journal of Oceanic Engineering
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This approach appears to have broad usefulness for both civil and military application of unmanned systems at sea. ...
Thorough simulation, testing, and certification of qualified robot responses are necessary to build human authority and trust when directing ethical robot operations at a distance. ...
ACKNOWLEDGMENT The authors gratefully acknowledge the fundamentally important insights and continuing contributions of many dozens of NPS students and colleagues. ...
doi:10.1109/joe.2017.2782959
fatcat:4nefuh2ovzblrkfdbgp5b4bqvm
Science of Autonomy: Time-Optimal Path Planning and Adaptive Sampling for Swarms of Ocean Vehicles
[chapter]
2016
Springer Handbook of Ocean Engineering
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The science of autonomy is the systematic development of fundamental knowledge about autonomous decision making and task completing in the form of testable autonomous methods, models and systems. ...
The aim is to set a basis for a large number of vehicles forming heterogeneous and collaborative underwater swarms that are smart, i. e., knowledgeable about the predicted environment and their uncertainties ...
The science of autonomy is the systematic development of fundamental knowledge about autonomous decision making and task completing in the form of testable autonomous methods, models, and systems. ...
doi:10.1007/978-3-319-16649-0_21
fatcat:s3u34wu3orgtjkrgk4zwhzios4
Attraction, Dynamics, and Phase Transitions in Fire Ant Tower-Building
2020
Frontiers in Robotics and AI
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While biological studies of collective construction focus on behavioral assays to measure the dynamics of formation and studies of swarm robotics focus on developing hardware that can assemble and interact ...
Lastly, we provide an optimization tool that may be used to design towers of specific shapes, mechanical loads, and dynamical properties, such as mechanical stability and mobility of the center of mass ...
in swarm robotic systems. ...
doi:10.3389/frobt.2020.00025
pmid:33501194
pmcid:PMC7806095
fatcat:34pmubjqgjckbackww2hxx6quu
Attraction, Dynamics, and Phase Transitions in Fire Ant Tower-Building
[article]
2019
bioRxiv
pre-print
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While biological studies of collective construction focus on behavioral assays to measure the dynamics of formation and studies of swarm robotics focus on developing hardware that can assemble and interact ...
Lastly, we provide an optimization tool that may be used to design towers of specific shapes, mechanical loads, and dynamical properties such as mechanical stability and mobility of the center of mass. ...
The diusion-limited aggregation case of the model, with P u = 0, k nl = 1, c = 0. The video is shown at a speed of 120 time steps per second. ...
doi:10.1101/864306
fatcat:3jq3govpnrdyvdoofuz7ohoac4
Flow-mediated olfactory communication in honeybee swarms
2021
Proceedings of the National Academy of Sciences of the United States of America
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Honeybee swarms are a landmark example of collective behavior. To become a coherent swarm, bees locate their queen by tracking her pheromones. ...
that avoids local equilibrium configurations of isotropic (nondirectional and axisymmetric) communication, such as small bee clusters that persist throughout the simulation. ...
to create bioinspired system designs in the fields of dynamic construction materials, swarm robotics, and distributed communication. ...
doi:10.1073/pnas.2011916118
pmid:33758099
fatcat:ogz3iqrlbngb7pgnufb2mcqwqi
Strategy for an Autonomous Behavior that Guarantees a Qualitative Fine Adjustment at the Target Pose of a Collaborating Mobile Robot
2021
Zenodo
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As a basis for this strategy, an extensible software architecture for socially acceptable navigation of mobile robots is designed and implemented using ROS components. ...
This thesis introduces a strategy that leverages a pose graph-based localization approach to reduce positioning errors at target poses of collaborating mobile robots. ...
These coding increments should be easily testable on the real platform or using a simulator. ...
doi:10.5281/zenodo.4742013
fatcat:637baqamlffkfda5cvvxzegyuy
Experiences creating three implementations of the repast agent modeling toolkit
2006
ACM Transactions on Modeling and Computer Simulation
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Many agent-based modeling and simulation researchers and practitioners have called for varying levels of simulation interoperability ranging from shared software architectures to common agent communications ...
It is hoped that ongoing architecture standards efforts will benefit from this new knowledge and use it to produce architecture standards with increased robustness. ...
Deaprtment of Energy. Authors' address: Center for Complex Adaptive Agent Systems Simulation, Decision and Informa-
ACKNOWLEDGMENTS The authors wish to thank David L. ...
doi:10.1145/1122012.1122013
fatcat:gjnezsnn2jeulldpwtunwnjqja
Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey
2019
IEEE Access
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His research interests include machine learning, human-robot teaming, and modeling cognitive states using neuroimaging methods such as fNIRS and EEG. ...
The latter category covers recommender systems, which are used to coordinate the actions that sit at the interface of the human and AVSs, human-machine interaction issues, and the activity recognition ...
; and third, automatic control of the level of autonomy of a robot requires a working policy, which adds complexity to the robot system. ...
doi:10.1109/access.2019.2902812
fatcat:ieqvknlscjgfthy3snql53ohzi
Collective motion
2012
Physics reports
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The observations we report on include systems consisting of units ranging from macromolecules through metallic rods and robots to groups of animals and people. ...
Our aim is to provide a balanced discussion of the various facets of this highly multidisciplinary field, including experiments, mathematical methods and models for simulations, so that readers with a ...
Acknowledgments T.V. thanks for collaboration and numerous helpful exchanges of ideas (a long list too long to reproduce here, but cited in the text) with outstanding colleagues over the past 15 years. ...
doi:10.1016/j.physrep.2012.03.004
fatcat:qmnmww5lurhqrikozq674wtcce
Imitation with ALICE: learning to imitate corresponding actions across dissimilar embodiments
2002
IEEE transactions on systems, man and cybernetics. Part A. Systems and humans
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Artificial systems used to study imitation can both test models of imitation derived from observational or neurobiological data on imitation in animals and then apply them to different kinds of nonbiological ...
systems ranging from robots to software agents. ...
ACKNOWLEDGMENT A. Alissandrakis would like to thank Y. Dimitriadi for personal inspiration. The authors would like to thank the anonymous reviewers for their constructive comments. ...
doi:10.1109/tsmca.2002.804820
fatcat:xaydig4jdfh3xnitqku2ddrhbm
Robot life: simulation and participation in the study of evolution and social behavior
2018
History and Philosophy of the Life Sciences
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Acknowledgements This paper is a revised and expanded version of a chapter with the same title that appeared in the volume Research Objects in their Technological Setting, edited by Bernadette Bensaude-Vincent ...
I thank the editors of this volume for their permission to publish this revised version, and for their editorial and intellectual assistance. ...
there are no sweeping IMAX films of swarming robots on the plains of Africa. ...
doi:10.1007/s40656-017-0181-y
pmid:29299702
fatcat:mo77ixoqpjd5hla3us3y3niy3q
Information theoretic analysis of computational models as a tool to understand the neural basis of behaviors
[article]
2021
arXiv
pre-print
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Furthermore, the ability to intervene as we please, allows us to conduct in-depth analysis of these models in a way that cannot be performed in natural systems. ...
In this work, I provide an introduction, a review and discussion to make a case for how information theoretic analysis of computational models is a potent research methodology to help us better understand ...
While this is a theoretical distinction, the distinction is not significant in simulation since continuous-time systems are also simulated in digital computers using discrete approximations such as Euler ...
arXiv:2106.05186v1
fatcat:qklf4it3ardrhfbkbwdjv634ne
A Design Pattern for Decentralised Decision Making
2015
PLoS ONE
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Besides engineering, such a design pattern can prove useful for a deeper understanding of decision making in natural systems thanks to the inclusion of individual heterogeneities and spatial factors, which ...
We discuss implementation strategies based on both homogeneous and heterogeneous multiagent systems, and we provide means to deal with spatial and topological factors that have a bearing on the micro-macro ...
However, providing desired cognitive processing abilities to large-scale distributed systems-from swarms of robots [6] to cognitive radio networks [7] and cyber-physical systems [8] -is a complex ...
doi:10.1371/journal.pone.0140950
pmid:26496359
pmcid:PMC4619747
fatcat:rilftli4e5fhrpmzbj4kawgpom
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