Engineering topics
Publications and source records attributed to Chien, S..
The paper talks about the planning, scheduling, and execution framework used in ASC (Autonomous Sciencecraft Constellation).
This paper introduces two benchmark problem sets based on actual space mission operations.
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The Autonomous Sciencecraft Constellation (ASC) experiment, which will fly onboard the Air Force's TechSat-21 constellation, will demonstrate the use of onboard science analysis and replanning to increase science return.
We examine four decision criteria that make varying assumptions about characteristics of the random variable.
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Three Corner Sat (3CS) is a mission of three university nanosatellites scheduled for launch on September 2002. The 3CS misison will utilize significan onboard autonomy to perform onboard science data validation and replanning.
Current declarative systems are limited to a small number of types of states and resources that they can represent. Thus software is usually hand-crafted to meet the needs of the state validation-estimation-projection for real domains where estimation is not sufficient.
This paper presents an overview of the intelligent decison-making capabilities of the CLARAty robotic architecture for autonomy.
We propose an explorer that uses a flexible problem-solver with a significant capacity to adapt its behavior.
This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data.
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.
The Autonomous Sciencecraft Constellation flight demonstration (ASC) will fly onboard the Air Forces's TechSat-21 constellation. Demonstration of its capabilities in a flight environment will open up tremendous new opportunities in planetary science, space physics, and earth science that would be unreadable without this technology.
Most approaches to robust automony with respect to planning and execution are focused on either providing models that allow for flexibility or providing techniques for changing models to improve performance. We take these techniques into consideration, but focus the majority of our work on robust autonomous planning and execution with imperfect models.
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This article describes a number of lessons learned in deploying automated planning and scheduling systems for space applications at the Jet Propulsion Laboratory.
In this paper, we describe the three major areas for autonomous systems for space exploration: free-flying spacecraft, planetary rovers, and ground communications stations.
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