Evolution of Autonomous Self-Righting Behaviors for Articulated Nanorovers

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Tunstel:1999:isairas,

• author = "E. Tunstel",
• title = "Evolution of Autonomous Self-Righting Behaviors for Articulated Nanorovers",
• booktitle = "5th International Symposium on Artificial Intelligence, Robotics and Automation in Space",
• year = "1999",
• editor = "G. Hirzinger and M. Montemerlo and K. Tsuchiya",
• pages = "341--346",
• address = "ESTEC, Noordwijk, The Netherlands",
• month = "1-3 " # jun,
• publisher = "ESA",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://trs-new.jpl.nasa.gov/dspace/bitstream/2014/17585/1/99-1007.pdf",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.4187",
• URL = "http://articles.adsabs.harvard.edu//full/1999ESASP.440..341T/0000341.000.html",
• URL = "http://citeseer.ist.psu.edu/378858.html",
• language = "en",
• oai = "oai:CiteSeerXPSU:10.1.1.138.4187",
• abstract = "Miniature rovers with articulated mobility mechanisms are being developed for planetary surface exploration on Mars and small solar system bodies. These vehicles are designed to be capable of autonomous recovery from overturning during surface operations. This paper describes a proposed computational means of developing motion behaviours that achieve the autonomous recovery function. Its aim is to reduce the effort involved in developing self-righting control behaviors. The approach is based on the integration of evolutionary computing with a dynamics simulation environment for evolving and evaluating motion behaviours. The automated behavior design approach is outlined and its underlying genetic programming infrastructure is described.",
• notes = "WEA-22-4 http://conferences.esa.int/99a02/index.html",

}

Genetic Programming entries for Edward W Tunstel

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