Autonomous and semiautonomous control simulator

Chad Burns, Joseph Zearing, Ranxiao Wang, Dusan M Stipanovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a simulator that is being developed to study the performance of certain types of vehicle navigation. The performance metric looks at a likelihood of accomplishing a task and the cost of the strategy - measuring both robustness and efficiency. We present results involving only autonomous control strategies, yet the simulator will be used to compare human performance in completing the same task.

Original languageEnglish (US)
Title of host publicationEmbedded Reasoning
Subtitle of host publicationIntelligence in Embedded Systems - Papers from the AAAI Spring Symposium, Technical Report
Pages10-16
Number of pages7
VolumeSS-10-04
StatePublished - 2010
Event2010 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 22 2010Mar 24 2010

Other

Other2010 AAAI Spring Symposium
CountryUnited States
CityStanford, CA
Period3/22/103/24/10

ASJC Scopus subject areas

  • Artificial Intelligence

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