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  1. Swarm Intelligence
  2. Swarm Intelligence : Volume 8
  3. Swarm Intelligence : Volume 8, Issue 2, June 2014
  4. AutoMoDe: A novel approach to the automatic design of control software for robot swarms
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Swarm Intelligence : Volume 11
Swarm Intelligence : Volume 10
Swarm Intelligence : Volume 9
Swarm Intelligence : Volume 8
Swarm Intelligence : Volume 8, Issue 4, December 2014
Swarm Intelligence : Volume 8, Issue 3, September 2014
Swarm Intelligence : Volume 8, Issue 2, June 2014
AutoMoDe: A novel approach to the automatic design of control software for robot swarms
Revisiting wavefront construction with collective agents: an approach to foraging
Interactive ant colony optimization (iACO) for early lifecycle software design
Swarm Intelligence : Volume 8, Issue 1, March 2014
Swarm Intelligence : Volume 7
Swarm Intelligence : Volume 6
Swarm Intelligence : Volume 5
Swarm Intelligence : Volume 4
Swarm Intelligence : Volume 3
Swarm Intelligence : Volume 2
Swarm Intelligence : Volume 1

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AutoMoDe: A novel approach to the automatic design of control software for robot swarms

Content Provider SpringerLink
Author Francesca, Gianpiero Brambilla, Manuele Brutschy, Arne Trianni, Vito Birattari, Mauro
Copyright Year 2014
Abstract We introduce AutoMoDe: a novel approach to the automatic design of control software for robot swarms. The core idea in AutoMoDe recalls the approach commonly adopted in machine learning for dealing with the bias–variance tradedoff: to obtain suitably general solutions with low variance, an appropriate design bias is injected. AutoMoDe produces robot control software by selecting, instantiating, and combining preexisting parametric modules—the injected bias. The resulting control software is a probabilistic finite state machine in which the topology, the transition rules and the values of the parameters are obtained automatically via an optimization process that maximizes a task-specific objective function. As a proof of concept, we define AutoMoDe-Vanilla, which is a specialization of AutoMoDe for the e-puck robot. We use AutoMoDe-Vanilla to design the robot control software for two different tasks: aggregation and foraging. The results show that the control software produced by AutoMoDe-Vanilla (i) yields good results, (ii) appears to be robust to the so called reality gap, and (iii) is naturally human-readable.
Starting Page 89
Ending Page 112
Page Count 24
File Format PDF
ISSN 19353812
Journal Swarm Intelligence
Volume Number 8
Issue Number 2
e-ISSN 19353820
Language English
Publisher Springer US
Publisher Date 2014-03-12
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Swarm robotics Automatic design AutoMoDe Evolutionary robotics Artificial Intelligence (incl. Robotics) Computer Systems Organization and Communication Networks ApplicationMathematics/Computational Methods of Engineering Communications Engineering, Networks Computer Communication Networks
Content Type Text
Resource Type Article
Subject Artificial Intelligence
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