Abstract
We describe the interface between a real-time resource allocation system with an AI planner in order to create fault-tolerant plans that are guaranteed to execute in hard real-time. The planner specifies the task set and all execution deadlines required to ensure system safety, then the resource allocator schedules these plans off-line to analyze execution platform resource utilization. A new interface module combines information from planning and resource allocation to enforce development of plans feasible for execution during a variety of internal system faults. Plans that over-utilize any system resource trigger feedback to the planner, which then searches for an alternate plan. A valid plan for each specified fault, including the nominal no-fault situation, is stored in a plan cache for subsequent real-time execution. We situate this work in the context of CIRCA, the Cooperative Intelligent Real-time Control Architecture, which focuses on developing and scheduling plans that make hard real-time safety guarantees, and provide an example of an autonomous aircraft agent to illustrate how our planner-resource allocation interface improves CIRCA performance.
Original language | English (US) |
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Pages | 244-251 |
Number of pages | 8 |
DOIs | |
State | Published - 1999 |
Externally published | Yes |
Event | Proceedings of the 1999 3rd International Conference on Autonomous Agents - Seattle, WA, USA Duration: May 1 1999 → May 5 1999 |
Other
Other | Proceedings of the 1999 3rd International Conference on Autonomous Agents |
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City | Seattle, WA, USA |
Period | 5/1/99 → 5/5/99 |
ASJC Scopus subject areas
- General Engineering