Journal of Robotics, Networking and Artificial Life

Volume 6, Issue 3, December 2019, Pages 203 - 208

Dynamic Structures for Evolving Tactics and Strategies in Team Robotics

Authors
Jeffrey Johnson*, Ruggero Rossi
Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, Buckinghamshire MK7 6AA, UK
*Corresponding author. Email: jeff.johnson@open.ac.uk
Corresponding Author
Jeffrey Johnson
Received 29 November 2017, Accepted 14 January 2018, Available Online 23 December 2019.
DOI
https://doi.org/10.2991/jrnal.k.191203.005How to use a DOI?
Keywords
Multi-robot systems, robot soccer, hypernetworks, multilevel systems, multilevel dynamics
Abstract

The autonomous robot systems of the future will be teams of robots with complementary specialisms. At any instant robot interactions determine relational structures, and sequences of these structures describe the team dynamics as trajectories through space and time. These structures can be represented in algebraic forms that are realizable as dynamic multilevel data structures within individual robots, as the basis of emergent team data structures. Such formalisms are necessary for robots to learn new individual and collective behaviours. The theory is illustrated by the example of robot soccer where robot interactions create structures and trajectories essential to the evolution of new tactics and strategies in a changing environment.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
6 - 3
Pages
203 - 208
Publication Date
2019/12
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.191203.005How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Jeffrey Johnson
AU  - Ruggero Rossi
PY  - 2019
DA  - 2019/12
TI  - Dynamic Structures for Evolving Tactics and Strategies in Team Robotics
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 203
EP  - 208
VL  - 6
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.191203.005
DO  - https://doi.org/10.2991/jrnal.k.191203.005
ID  - Johnson2019
ER  -