Interactive, repair-based planning and scheduling for Shuttle payload operations

Author

Rabideau, G. ; Chien, S. ; Mann, T. ; Eggemeyer, C. ; Willis, J. ; Siewert, S. ; Stone, P.

Author_Institution

Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA

Volume

1

fYear

1997

fDate

1-8 Feb 1997

Firstpage

325

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

Keywords

aerospace computing; aerospace control; artificial intelligence; intelligent control; iterative methods; optimisation; scheduling; search problems; Artificial Intelligence; DATA-CHASER Automated Planner/Scheduler; Shuttle payload operations; high-level user goals; iterative repair; low-level command sequences; model representation; optimisation; repair-based planning; scheduling; temporal constraints; Artificial intelligence; Instruments; Iterative algorithms; Optical imaging; Payloads; Power system planning; Processor scheduling; Propulsion; Scheduling algorithm; Space vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace Conference, 1997. Proceedings., IEEE

Conference_Location

Snowmass at Aspen, CO

Print_ISBN

0-7803-3741-7

Type

conf

DOI

10.1109/AERO.1997.574423

Filename

574423