Autonomous and semiautonomous control simulator

Chad Burns, Joseph Zearing, Ranxiao Frances Wang, Dušan Stipanović

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


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
PublisherAI Access Foundation
Number of pages7
ISBN (Print)9781577354581
StatePublished - 2010
Event2010 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 22 2010Mar 24 2010

Publication series

NameAAAI Spring Symposium - Technical Report


Other2010 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA

ASJC Scopus subject areas

  • Artificial Intelligence


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