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1 to 10 of 10 Results
May 1, 2003
Chien, Steve; Sherwood, Rob; Tran, Daniel; Castano, Rebecca; Cichy, Benjamin; Davies, Ashley; Rabideau, Gregg; Tang, Nghia; Burl, Michael; Mandl, Dan; Frye, Stuart; Hengemihle, Jerry; D'Agostino, Jeff; Bote, Robert; Trout, Bruce; Shulman, Seth; Ungar, Stephen; Van Gaasbeck, Jim; Boyer, Darrell; Griffin, Michael; Burke, Hsiao-hua; Greeley, Ronald; Doggett, Thomas; Williams, Kevin; Baker, Victor; Dohm, James, 2003, "Autonomous science on the EO-1 Mission", https://hdl.handle.net/2014/7155, International Symposium on Artificial Intelligence Robotics and Automation in Space (i-SAIRAS), Nara, Japan, May 19, 2003, JPL Open Repository
In mid-2003, we will fly software to detect science events that will drive autonomous scene selection on board the New Millennium Earth Observing 1 (EO-1) spacecraft. This software will demonstrate the potential for future space missions to use onboard decision-making to detect s...
Mar 21, 1998
Sherwood, Rob; Govindjee, Anita; Yan, David; Rabideau, Gregg; Chien, Steve; Fukunaga, Alex, 1998, "Using ASPEN to Automate EO-1 Activity Planning", https://hdl.handle.net/2014/23002, USA, JPL Open Repository
This paper describes the application of an automated planning and scheduling system to the NASA Earth Orbiting 1 (EO-1) mission. The planning system, ASPEN, is used to autonomously schedule the daily activites of the satellite. The satellite and operations constraints are encoded...
Aug 26, 1997
Sherwood, Rob; Govindjee, Anita; Yan, David; Rabideau, Gregg; Chien, Steve; Fukunaga, Alex, 1997, "ASPEN: EO-1 Mission Activity Planning Made Easy", https://hdl.handle.net/2014/22526, Oxnard, California, USA, JPL Open Repository
This paper describes the application of an automated planning and scheduling system to the NASA Earth Orbitin 1 (EO-1) missions. The planning system, ASPEN, is used to autonomously schedule the daily activites of the satellite.
Aug 23, 1997
Chien, Steve, 1997, "Efficiently Ranking Hyphotheses in Machine Learning", https://hdl.handle.net/2014/22283, Nagoya, Japan, JPL Open Repository
This paper considers the problem of learning the ranking of a set of alternatives based upon incomplete information (e.g. a limited number of observations). At each decision cycle, the system can output a complete ordering on the hypotheses or decide to gather additional informat...
Jul 14, 1997
Chien, Steve, 1997, "Towards a Self-Configuring Optimization System for Spacecraft Design", https://hdl.handle.net/2014/22282, Tokyo, JPL Open Repository
In this paper, we propose the use of a set of generic, metaheuristic optimization algorithms, which is configured for a particular optimization problem by an adaptive problem solver based on artificial intelligence and machine learning techniques. We describe work in progress on...
Jul 14, 1997
Yan, David; Fukunaga, Alex S.; Rabideau, Gregg; Chien, Steve, 1997, "ASPEN: A Framework for Automated Planning and Scheduling of Spacecraft Control and Operations", https://hdl.handle.net/2014/22263, Tokyo, JPL Open Repository
In this paper, we describe ASPEN (Automated Planning/Scheduling Environment), a modular, reconfigurable application framework which is capable of supporting a wide variety of planning and scheduling applications.
Feb 2, 1997
Fukunaga, Alex; Rabideau, Greg; Chien, Steve; Yan, David, 1997, "Towards an Application Framework for Automated Planning and Scheduling", https://hdl.handle.net/2014/27637, Snowmass, CO, JPL Open Repository
A number of successful applications of automated planning and scheduling applications to spacecraft operations have recently been reported in the literature. However, these applications have been one-of-a-kind applications that required a substantial amount of development effort....
Feb 1, 1997
Fukunaga, Alex; Chien, Steve; Mutz, Darren; Sherwood, Robert L.; Stechert, Andre D., 1997, "Automating the Process of Optimization in Spacecraft Design", https://hdl.handle.net/2014/27636, Aspen, CO, JPL Open Repository
Spacecraft design optimization is a difficult problem, due to the complexity of optimization cost surfaces, and human expertise in optimization that is necessary in order to achieve good results. In this paper, we propose the use of a set of generic, metaheuristic optimization al...
Oct 1, 1995
Chien, Steve, 1995, "The Multimission VICAR Planner: A Fielded Planning System for Scientific Data Analysis", https://hdl.handle.net/2014/32044, Assisi, Italy, JPL Open Repository
The Multimission VICAR Planner (MVP) system is an AI planning system which constructs
Jun 27, 1993
Gratch, Jonathan; Chien, Steve; DeJong, Gerald, 1993, "Learning Search Control Knowledge for Deep Space Network Scheduling", https://hdl.handle.net/2014/35258, Amherst, MA, USA, JPL Open Repository
While the general class of most scheduling problems is NP-hard in worst-case complexity, in practice, for specific distributions of problems and constraints, domain-specific solutions have been shown to perform in much better than exponential time.
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