Richard Doyle - Academia.edu (original) (raw)

Papers by Richard Doyle

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AIP Conference Proceedings, 1993

Scientific data preparation is the process of extracting usable scientific data from raw instrume... more Scientific data preparation is the process of extracting usable scientific data from raw instrument data. This task involves noise detection (and subsequent noise classification and flagging or removal), extracting data from compressed forms, and construction of derivative or aggregate data (e.g., spectral densities or running averages). This paper describes the PIPE system. PIPE provides intelligent assistance developing scientific data preparation

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Space technology and applications international forum (STAIF - 97), 1997

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30th Aerospace Sciences Meeting and Exhibit, 1992

... Authors: Chien, Steve; Doyle, Richard; Rouquette, Nicolas. Affiliation: AA(JPL, Pasadena, CA)... more ... Authors: Chien, Steve; Doyle, Richard; Rouquette, Nicolas. Affiliation: AA(JPL, Pasadena, CA), AB(JPL, Pasadena, CA), AC(JPL, Pasadena, CA). Publication: AIAA, Aerospace Sciences Meeting and Exhibit, 30th, Reno, NV, Jan. 6-9, 1992. 10 p. Publication Date: 01/1992. ...

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9th Computing in Aerospace Conference, 1993

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1997 IEEE Aerospace Conference, 1997

Autonomy concepts now exert a powerful influence on the development of a wide range of aerospace ... more Autonomy concepts now exert a powerful influence on the development of a wide range of aerospace systems. Their value for automating spacecraft functions such as guidance, navigation and control is well-recognized. However, relatively little effort has been devoted in the past to their use in the context of payload data processing and understanding. In this paper, we focus on the

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[1991] Proceedings. The Second Annual Conference on AI, Simulation and Planning in High Autonomy Systems, 1991

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Machine Learning Proceedings 1991, 1991

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--Autonomy,concepts,now,exert a powerful,influcncc on,the dcvcloprncnt of,a wide range of,aerospa... more --Autonomy,concepts,now,exert a powerful,influcncc on,the dcvcloprncnt of,a wide range of,aerospace systems. Their value for automating,spacecraft,ftmctions such,as guidance, navigation and control is , recognized. I lowcvcr, relatively little effort has been,devoted,in the past,to their usc in the context of payload data processing,and understanding. In this paper, we focus on the usc,of autonomy,to enable,and,enhance scienti~lc goals,for spaceborne,missions. We argue that the general notions of autonomy can bc applied,directly to a broad,range of scientific problems,in ways that have,never before been considered.Wc begin by outlining our general philosophy, and by describing the ways,in which,autonomy,can,bc used,t o transform,the ways,in which,spaceborne science is conducted. This is followed by a description of two novel systems that wc have developed,to exploit this philosophy,for planetaly missions. 1. IN1RODUCTION The development,of autonomous,spacecraft

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Hawaii International Conference on System Sciences, 1994

Describes MESA, a domain-independent interactive tool for the development of reusable causal mode... more Describes MESA, a domain-independent interactive tool for the development of reusable causal models and model-based-reasoning applications. Our current efforts are focused on developing automated sensor monitoring applications for NASA flight projects. MESA supports model development from a component-centered approach and provides a graphical editor for rapidly prototyping components and connections from a small set of modeling primitives that describe structure

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IEEE Intelligent Systems, 2006

Recent AI history in space Flight technology experiments are focused activities that support NASA... more Recent AI history in space Flight technology experiments are focused activities that support NASA&amp;amp;amp;amp;#x27;s pursuit of the capabilities it needs to explore space frontiers. The experiments validate new spacecraft capabilities, exploring their potential and value, and mitigating the inherent risks. ...

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