Journal
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS' 18)
Volume -, Issue -, Pages 1886-1888Publisher
ASSOC COMPUTING MACHINERY
Keywords
neuroevolution; NEAT; micro-aerial vehicles; dynamic coverage
Ask authors/readers for more resources
Dynamic coverage - the problem of covering an area evenly and continuously in order to visit all areas of interest - is an important procedure to optimise for any autonomous surveillance system. This work introduces a novel solution to the multi-agent version of this problem in that it achieves high performance in a completely decentralised manner with no reliance on GPS. It does so by using NEAT [12] to optimise agent neural controllers. The controllers are first realised via simulation and then transferred to Micro-Aerial Vehicles (MAVs). The MAVs are modified to include a Ultra-wideband Frequency (UWB) chip which use radio waves to communicate inter drone distances to one another.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available