Output details
11 - Computer Science and Informatics
University of Plymouth
Article title
Extending the Evolutionary Robotics approach to flying machines: an application to MAV teams.
Type
D - Journal article
Title of journal
Neural Netw
Article number
-
Volume number
22
Issue number
5-6
First page of article
812
ISSN of journal
1879-2782
Year of publication
2009
Number of additional authors
1
Additional information
<24> This work investigates method for autonomous communication in groups of flying Unmanned Micro Air Vehicles (MAV). The simulation experiments presented in this paper resulted in joint research with Floreano’s lab at EPFL Lausanne for the successful testing of the simulation results with real MAVs (work presented at IROS 2011, and featured in the Wired.com magazine). The work was funded by the European Office of Aerospace Research and Development (US Air Force Lab). This paper also led to collaboration with SciSys Ltd, significantly contributing to the award of major contracts with the UK MoD (see impact case 1).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
