Interactive, Repair-Based Planning and Scheduling for Shuttle Payload Operations

Sam B Siewert; Greg Rabideau; Steve Chien; Jason Willis; Peter Stone

Interactive, Repair-Based Planning and Scheduling for Shuttle Payload Operations

Sam B Siewert, Greg Rabideau, Steve Chien, Jason Willis, Peter Stone

Embry-Riddle Aeronautical University

Research output: Contribution to journal › Article › peer-review

Abstract

This paper describes the DATA-CHASER Automated Planner/Scheduler (DCAPS) system for automatically generating low-level command sequences from high-level user goals. DCAPS uses Artificial Intelligence (AI)-based search techniques and an iterative repair framework in which the system selectively resolves conflicts with the resource and temporal constraints of the DATA-CHASER shuttle payload activities.

Original language	American English
Journal	IEEE Aerospace Conference
Volume	1
State	Published - Feb 1 1997

Keywords

Space Shuttle
automated
planner
scheduler
AI
constraints
temporal
payload

Disciplines

Aerospace Engineering
Computer Engineering
Computer and Systems Architecture

Access to Document

IEEE_Aero_97_DCAPS.pdfFinal published version, 114 KBLicense: Unspecified

Cite this

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abstract = " This paper describes the DATA-CHASER Automated Planner/Scheduler (DCAPS) system for automatically generating low-level command sequences from high-level user goals. DCAPS uses Artificial Intelligence (AI)-based search techniques and an iterative repair framework in which the system selectively resolves conflicts with the resource and temporal constraints of the DATA-CHASER shuttle payload activities.",

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KW - constraints

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