The Open UniversitySkip to content
 

Dynamic Structures for Evolving Tactics and Strategies in Team Robotics

Johnson, Jeffrey and Rossi, Ruggero (2018). Dynamic Structures for Evolving Tactics and Strategies in Team Robotics. In: Proceedings of the Conference on Artificial Life and Robotics (ICAROB2018) (Jia, Yingmin; Ito, Takao and Lee, Ju-Jang eds.), ALife Robotics Corp. Ltd., Beppu, Oita, JAPAN, pp. 126–131.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (5MB) | Preview
Google Scholar: Look up in Google Scholar

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.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 The Authors
ISBN: 4-9908350-3-4, 978-4-9908350-3-3
Keywords: multi-robot systems; robot soccer; hypernetworks; multilevel systems; multilevel dynamics
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Design and Innovation
Related URLs:
Item ID: 53928
Depositing User: Jeffrey Johnson
Date Deposited: 09 Apr 2018 09:23
Last Modified: 02 May 2018 14:39
URI: http://oro.open.ac.uk/id/eprint/53928
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU