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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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This paper presents arguments for a balanced approach to modelling and reasoning in an autonomous robotic system. The framework discussed utilizes both declarative and procedural modelling to define the domain, rules, and constraints of the system and also balances the use of deliberative and reactive reasoning during execution.
In 2003, the student-built three satellite constellation Three Corner Sat (3CS) Mission will demonstrate onboard autonomy including: science data validation and prioritization, mission re-planning, and robust execution. Future observations will be planned onboard based on the quality of aquired science, available memory and power, and anticipated downlinks. These capabilities will allow 3CS to aquire additional science data if resources are available and to return only the highest quality science data.
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.
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.
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.
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.
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CLEaR unifies planning and execution processes to increase the responsiveness of a robotic agent operating in these types of environments.
This paper introduces a simple decentralized protocol that enables seperate planners to coordinate shared tasks and resolve conflicts over shared and private resources.
This paper describes the integration of a model-based planner into a procedural architecture.
Local search has been proposed as a means of responding to changes in problem context requiring replanning.
This article describes a number of lessons learned in deploying automated planning and scheduling systems for space applications at the Jet Propulsion Laboratory.
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 the mission, the planning problem, the system architecture, the planning challenges involved, and the impact of the automated planning system on planning and operating the mission.
This paper describes the New Millennium Remote Agent (NMRA) architecture for autonomous spacecraft control systems. This architecture integrates traditional real-time monitoring and control with constraint-based planning and scheduling, robust multi-threaded execution, and model-based diagnosis and reconfiguration.
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Recently, significant advances have been made in enabling autonomous rovers and robotic vehicles.