Richard J. Doyle

发表

Autonomy and software technology on NASA's Deep Space One

Douglas E. Bernard, Richard J. Doyle, E. Riedel, 1999, IEEE Intell. Syst..

Applying machine learning classification techniques to automate sky object cataloguing

Richard J. Doyle, Usama Fayyad, W. Nick Weir, 2008 .

Facilitating Non-Traditional Learning: An Update on Research and Evaluation in Intensive Scheduling.

Richard J. Doyle, John Yantis, R. Doyle, 1977 .

The Emergence of Spacecraft Autonomy

Richard J. Doyle, 1997, AAAI/IAAI.

National Aeronautics and Space Administration workshop on monitoring and diagnosis

Richard J. Doyle, 1992 .

Causal simulation and sensor planning in predictive monitoring

Richard J. Doyle, 1989 .

Human and Robotic Space Mission Use Cases for High-Performance Spaceflight Computing

Michael Johnson, Michael Lowry, Richard J. Doyle, 2013 .

Knowledge-based assistance for science visualization and analysis using large distributed databases

Richard J. Doyle, Allan S. Jacobson, Donald J. Collins, 1992 .

New directions in science-enabling autonomy for planetary missions

Alan S. Stern, Richard J. Doyle, Clark R. Chapman, 1997, 1997 IEEE Aerospace Conference.

AI in Space: An international forum for Space AI and Robotics

Richard J. Doyle, Ichiro Nakatani, Peter Putz, 1999, IEEE Intell. Syst..

Selective simulation and selective sensor interpretation in monitoring

Richard J. Doyle, Daniel Berleant, Usama Fayyad, 1989 .

Next Generation Space Processor (NGSP) High Performance Spaceflight Computing (HPSC) Next Steps at NASA and AFRL

Richard J. Doyle, Michael Johnson, Michael Lowry, 2013 .

A model-based reasoning approach to sensor placement for monitorability

Steve Chien, Richard J. Doyle, Luiz Homemdemello, 1992 .

Introduction to the Special Issue on Intelligent Systems for Space Exploration

Richard J. Doyle, Mark Woods, David Kortenkamp, 2016, J. Aerosp. Inf. Syst..

Construction and Refinement of Justified Causal Models Through Variable-Level Explanation and Perception, and Experimenting

Richard J. Doyle, R. Doyle, 1985 .

NASA Workshop on Monitoring and Diagnosis

Richard J. Doyle, 1992, AI Mag..

The TechSat-21 Autonomous Sciencecraft Experiment

Rob Sherwood, Steve Chien, Richard J. Doyle, 2003 .

Transforming the Deep Space Network into the Interplanetary Network

Richard J. Doyle, Adrian J. Hooke, James R. Lesh, 2003 .

Making an Impact: Artificial Intelligence at the Jet Propulsion Laboratory

Richard J. Doyle, Dennis DeCoste, Steve A. Chien, 1997, AI Mag..

Constructing and Refining Causal Explanations from an Inconsistent Domain Theory

Richard J. Doyle, R. Doyle, 1986, AAAI.

Validation of autonomous space systems

Andrew E. Johnson, Gerard J. Holzmann, Tara Estlin, 2016 .

The Future of AI in Space

Richard J. Doyle, Ari K. Jónsson, Ralph Lorenz, 2006, IEEE Intelligent Systems.

Focused Real-time Systems Monitoring Based on Multiple Anomaly Models

Richard J. Doyle, Jay Wyatt, Steve Chien, 2003 .

Next Generation Flight Computing: A Joint Investment of NASA and AFRL

Michael Johnson, Richard J. Doyle, Kim P. Gostelow, 2013 .

Sensor placement for diagnosability in space-borne systems - A model-based reasoning approach

Steve Chien, Richard J. Doyle, Nicolas Rouquette, 1992 .

The Emergence of S

Richard J. Doyle, 1997 .

Enabling Future Robotic Missions with Multicore Processors

Richard J. Doyle, Glenn Reeves, Michael Johnson, 2011 .

Predictive monitoring research: Summary of the PREMON system

David J. Atkinson, Richard J. Doyle, Suzanne M. Sellers, 1987 .

Spacecraft Autonomy in the New Millenium

Richard J. Doyle, Christine Anderson, Mark Hoffman, 1996 .

Spacecraft Health Automated Reasoning Prototype (SHARP): The fiscal year 1989 SHARP portability evaluations task for NASA Solar System Exploration Division's Voyager project

Richard J. Doyle, David J. Atkinson, Mark L. James, 1990 .

Machine Learning in Engineering Automation

Thomas G. Dietterich, Brian Falkenhainer, Richard J. Doyle, 1991, ML.

AI in Space: The Era of Autonomous Space Systems

Richard J. Doyle, 2000 .

Towards Combined Attention Focusing and Anomaly Detection in Medical Monitoring

Richard J. Doyle, 1994 .

PIPE: An intelligent scientific data preparation assistant

Steve Chien, Richard J. Doyle, Todd King, 2008 .

MESA: an interactive modeling and simulation environment for intelligent systems automation

Richard J. Doyle, Jay Wyatt, Nicolas Rouquette, 1994, 1994 Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences.

Reasoning About Hidden Mechanisms

Richard J. Doyle, R. Doyle, 1989, IJCAI.

Sensor selection in complex system monitoring using information quantification and causal reasoning

Richard J. Doyle, Daniel Berleant, Harry J. Porta, 1993 .

Automating sky object classification in astronomical survey images

Richard J. Doyle, Usama Fayyad, Stanislav G. Djorgovski, 1992 .

Highly Autonomous Systems Workshop

Richard J. Doyle, Keyur Patel, Robert Rasmussen, 1998, AI Mag..

A Focused, Context-Sensitive Approach to Monitoring

David Atkinson, Richard J. Doyle, Suzanne M. Sellers, 1989, IJCAI.

Attention focussing and anomaly detection in real-time systems monitoring

Steve Chien, Richard J. Doyle, Harry J. Porta, 1993 .

Attention Focusing and Anomaly Detection in Systems Monitoring

Richard J. Doyle, 1994 .

Causal modeling and event-driven simulation for monitoring of continuous systems

Richard J. Doyle, Jay Wyatt, Nicolas Rouquette, 1993 .

Predictive Monitoring With Many Sensors

Richard J. Doyle, 1992 .

Inspiration for Future Autonomous Space Systems

Richard J. Doyle, 2000, CIA.

Generating Perception Requests and Expectations to Verify the Execution of Plans

David Atkinson, Richard J. Doyle, Rajkumar Doshi, 1986, AAAI.

Enhancing aerospace systems autonomy through predictive monitoring

David J. Atkinson, Richard J. Doyle, Suzanne M. Sellers, 1989 .

Progress on AI, Robotics, and Automation in Space: A Report from i-SAIRAS 08

Richard J. Doyle, Gianfranco Visentin, Erick Dupuis, 2009, IEEE Intelligent Systems.

Autonomy enables new science missions

Richard J. Doyle, Paul Stolorz, Victoria Gor, 1997 .

Creating and using causal models

Richard J. Doyle, R. Doyle, 1989, Appl. Artif. Intell..

Intelligent assistance in scientific data preparation

Steve Chien, Richard J. Doyle, Todd King, 1993 .

Introduction: Enhancing Intelligence in Aerospace Systems

Ella M. Atkins, Richard J. Doyle, Walter Truszkowski, 2009, J. Aerosp. Comput. Inf. Commun..

Ice & Fire: Missions to the most difficult solar system destinations… on a budget

Richard J. Doyle, James E. Randolph, Richard J. Terrile, 1999 .

The Impact of Autonomous Systems Technology on JPL Mission Software

Richard J. Doyle, 2000 .

Determining the Loci of Anomalies Using Minimal Causal Models

Richard J. Doyle, R. Doyle, 1995, IJCAI.

ECLSS predictive monitoring

Steve Chien, Richard J. Doyle, 1991 .

Integrated Large-Scale Modeling and Simulation at JPL: A Recent Appraisal

Richard J. Doyle, R. Doyle, 2005 .

Guest Editor's Introduction: Spacecraft Autonomy and the Missions of Exploration

Richard J. Doyle, 1998, IEEE Intell. Syst..

Spacecraft Autonomy and the Missions of Exploration

Richard J. Doyle, 1998 .