The Techsat-21 autonomous sciencecraft constellation
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Engineering topics
Publications and source records attributed to Chien, S..
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This paper focuses on new and innovative software for remote, autonomous, space systems flight operation, including distributed autonomous systems, flight test results, and implications and directions for future systems.
With adaptive problem solving, we take a biologically-inspired approach to both stochastic optimization and search in order to enable a spacecraft to adapt its environment-specific bevahior in-situ.
Optimization of expected values in a stochastic domain is common in real world applications.
This paper compares and contrasts several coordination schemes for a system that continuously plans to control collections of rovers (or spacecraft) using collective mission goals, instead of goals or command sequences for each spacecraft.
In this paper, we discuss artificial intelligence planning and scheduling technology and how it can be applied to interferometer configuration and control.
Local search has been proposed as a means of responding to changes in problem context requiring replanning.
Optimization of expected values in a stochastic domain is common in real world applications.
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This paper describes the integration of a model-based planner into a procedural architecture.
This paper discusses a proof-of-concept prototype for ground-based automatic generation of validated rover command sequences from high-level science and engineering activities.
This paper describes and evaluates three methods for coordinating multiple agents.
In recent years with the large increase in the number of space missions at NASA, the demand for deep space communications services to command and collect data from these missions has become more difficult to manage.
We describe a methodology for representing and optimizing user preferences on plans.
The majority of planning and scheduling research has focused on batch-oriented models of planning.
We describe a methodology for representing and optimizing user preferences on plans.
In recent years with the large increase in the number of space missions at NASA and JPL (Jet Propulsion Laboratory), the demand for deep space communications services to command and collect data from these missions has become more difficult to manage.
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