Title :
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
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;
Conference_Titel :
Aerospace Conference, 1997. Proceedings., IEEE
Conference_Location :
Snowmass at Aspen, CO
Print_ISBN :
0-7803-3741-7
DOI :
10.1109/AERO.1997.574423
