Title
Bio-inspired Nest-Site Selection for Distributing Robots in Low-Communication Environments.
Abstract
We consider the problem of using only local communication to implement a distributed algorithm for large teams of mobile robots that searches space for locations of interest and distributes the robots across those locations according to quality. Toward this end, we take inspiration from insect societies that are able to coordinate without the use of pheromone trails. In particular, we focus on species that use only one-on-one local interactions to adaptively distribute scouts during nest-site selection tasks. Thus, there is a direct analogy between the insect communication mechanisms and peer-to-peer communication implementable in mobile, ad hoc networks of robots. Using chemical reaction networks as a conceptual bridge between behavioral descriptions from biology and event-triggered rules for robots, we develop a stochastic, biomimetic algorithm that achieves the desired goal. To validate our approach, we implement the algorithm on a large swarm of aerial, fixed-wing robots operating within the high-fidelity simulation package, SCRIMMAGE.
Year
Venue
Field
2018
PAAMS (Workshops)
Swarm behaviour,Site selection,Distributed algorithm,Analogy,Wireless ad hoc network,Robot,Mobile robot,Distributed computing
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
10
7
Name
Order
Citations
PageRank
Gregory Cooke100.68
Eric Squires212.38
Laura Strickland321.45
Kenneth Bowers411.09
Charles Pippin5102.00
Theodore P. Pavlic64210.50
Stephen C. Pratt71007.21