DocumentCode :
3206844
Title :
A UAS capability description framework: Reactive, adaptive, and cognitive capabilities in robotics
Author :
Visnevski, Nikita A. ; Castillo-Effe, Mauricio
Author_Institution :
Signal Electron. & Embedded Syst., Gen. Electr. Global Res., Niskayuna, NY
fYear :
2009
fDate :
7-14 March 2009
Firstpage :
1
Lastpage :
7
Abstract :
This paper offers a framework that helps in characterizing, analyzing, and developing Unmanned Autonomous Systems (UAS) capabilities including autonomy, adaptability, and machine cognition. We propose a technical reference model that brings these levels of capabilities together into a three-dimensional graphical model. Based on this technical reference model, we offer a system-theoretic analysis framework that includes three views into systems capabilities - reactive, adaptive and cognitive. For illustration purposes, this framework is applied to the analysis of capabilities of autonomous systems derived from four fundamental schools of thought in robotics - deliberative, reactive, hybrid and probabilistic. This exercise helps in understanding where the state of the art currently is in terms of UAS capabilities, what capabilities modern UAS lack, and what capabilities could be expected in the near future. The approach presented in this work provides a useful foundation for capability development and capability testing in UAS.
Keywords :
aerospace robotics; mobile robots; remotely operated vehicles; capability testing; machine cognition; robotic adaptive capabilities; robotic cognitive capabilities; robotic reactive capabilities; unmanned autonomous systems; Cognition; Cognitive robotics; Control systems; Educational institutions; Embedded system; Graphical models; Humans; Signal analysis; System testing; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace conference, 2009 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4244-2621-8
Electronic_ISBN :
978-1-4244-2622-5
Type :
conf
DOI :
10.1109/AERO.2009.4839601
Filename :
4839601
Link To Document :
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