Dynamic Structures for Evolving Tactics and Strategies in Team Robotics
- Jeffrey Johnson*, Ruggero RossiFaculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, Buckinghamshire MK7 6AA, UK*Corresponding author. Email: firstname.lastname@example.org
- Corresponding Author
- Jeffrey Johnson
- https://doi.org/10.2991/jrnal.k.191203.005How to use a DOI?
- Multi-robot systems, robot soccer, hypernetworks, multilevel systems, multilevel dynamics
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.
- © 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 -