Paper Info
Title
A Hormone Arbitration System for Energy Efficient Foraging in Robot Swarms.
Abstract
Keeping robots optimized for an environment can be computationally expensive, time consuming, and sometimes requires information unavailable to a robot swarm before it is assigned to a task. This paper proposes a hormone-inspired system to arbitrate the states of a foraging robot swarm. The goal of this system is to increase the energy efficiency of food collection by adapting the swarm to environmental factors during the task. These adaptations modify the amount of time the robots rest in a nest site and how likely they are to return to the nest site when avoiding an obstacle. These are both factors that previous studies have identified as having a significant effect on energy efficiency. This paper proposes that, when compared to an offline optimized system, there are a variety of environments in which the hormone system achieves an increased performance. This work shows that the use of a hormone arbitration system can extrapolate environmental features from stimuli and use these to adapt.
Year
Venue
Field
2018
TAROS
Obstacle,Swarm behaviour,Efficient energy use,Computer science,Real-time computing,Artificial intelligence,Arbitration,Robot,Robotics,Foraging
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
8
3
Name
Order
Citations
PageRank
James Wilson172.87
Jon Timmis21237120.32
Andy M. Tyrrell362973.61