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Generalization performance of vision based controllers for mobile robots evolved with genetic programming

Authors:

Renaud Barate,

Antoine ManzaneraAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1331 - 1332

https://doi.org/10.1145/1389095.1389349

Published: 12 July 2008 Publication History

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Abstract

We present a genetic programming system to design automatically vision based obstacle avoidance algorithms adapted to the current context. We use a simulation environment to evaluate the controllers. By restricting the structure of the algorithms to facilitate the compromise between obstacle avoidance and target reaching, we improve the generalization performance of the algorithms.

References

[1]

R. Barate and A. Manzanera. Evolving Vision Controllers with a Two-Phase Genetic Programming System Using Imitation. From Animals to Animats 10, Proceedings of the tenth International Conference on the Simulation of Adaptive Behavior, SAB'08, To Appear, 2008.

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M. Martin. Evolving visual sonar: Depth from monocular images. Pattern Recognition Letters, 27(11):1174--1180, 2006.

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A. Saxena, S. Chung, and A. Ng. 3-D Depth Reconstruction from a Single Still Image. International Journal of Computer Vision, 76(1):53--69, 2008.

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P. Whigham. Grammatically-based genetic programming. Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 33--41, 1995.

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Cited By

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Mao YWiedmann HChen M(2011)Autonomous Mobile Robots and Development of Vision Based Automotive Assistance SystemsApplied Mechanics and Materials10.4028/www.scientific.net/AMM.121-126.2416121-126(2416-2420)Online publication date: Oct-2011
https://doi.org/10.4028/www.scientific.net/AMM.121-126.2416
Pinville TKoos SMouret JDoncieux SLanzi P(2011)How to promote generalisation in evolutionary roboticsProceedings of the 13th annual conference on Genetic and evolutionary computation10.1145/2001576.2001612(259-266)Online publication date: 12-Jul-2011
https://dl.acm.org/doi/10.1145/2001576.2001612
Barate RManzanera A(2008)Learning Vision Algorithms for Real Mobile Robots with Genetic ProgrammingProceedings of the 2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems10.1109/LAB-RS.2008.20(47-52)Online publication date: 6-Aug-2008
https://dl.acm.org/doi/10.1109/LAB-RS.2008.20
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Index Terms

Generalization performance of vision based controllers for mobile robots evolved with genetic programming
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
      2. Computer vision tasks
        Scene understanding

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Published In

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 12 July 2008

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Mao YWiedmann HChen M(2011)Autonomous Mobile Robots and Development of Vision Based Automotive Assistance SystemsApplied Mechanics and Materials10.4028/www.scientific.net/AMM.121-126.2416121-126(2416-2420)Online publication date: Oct-2011
https://doi.org/10.4028/www.scientific.net/AMM.121-126.2416
Pinville TKoos SMouret JDoncieux SLanzi P(2011)How to promote generalisation in evolutionary roboticsProceedings of the 13th annual conference on Genetic and evolutionary computation10.1145/2001576.2001612(259-266)Online publication date: 12-Jul-2011
https://dl.acm.org/doi/10.1145/2001576.2001612
Barate RManzanera A(2008)Learning Vision Algorithms for Real Mobile Robots with Genetic ProgrammingProceedings of the 2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems10.1109/LAB-RS.2008.20(47-52)Online publication date: 6-Aug-2008
https://dl.acm.org/doi/10.1109/LAB-RS.2008.20
Barate RManzanera A(2008)Evolving Vision Controllers with a Two-Phase Genetic Programming System Using ImitationProceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats10.1007/978-3-540-69134-1_8(73-82)Online publication date: 7-Jul-2008
https://dl.acm.org/doi/10.1007/978-3-540-69134-1_8

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Navigation of mobile robots in the presence of obstacles

Design and implementation of a navigation system for autonomous mobile robots

Vision Aided Path Planning for Mobile Robot

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