Authors
Jeffrey Johnson*, Ruggero Rossi
Faculty of Science, Technology, Engineering and Mathematics, The Open University,
Milton Keynes, Buckinghamshire MK7 6AA, UK
*
Corresponding author. Email: [email protected]
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.191203.005
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 ALife Robotics Corp. Ltd.
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/).