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Interactive, Repair-Based Planning and Scheduling for Shuttle Payload Operations (1997)
Gregg Rabideau and Steve Chien and
Peter Stone
and Jason Willis and Curt Eggemeyer and Tobias Mann
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 sysetm selectively resolves conflicts with the resource and temporal constraints of the DATA-CHASER shuttle payload activities.
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Citation:
In
Proceedings of the 1997 IEEE Aerospace Conference
, 325-341, Aspen, CO, February 1997.
Bibtex:
@InProceedings{dcaps97, title={Interactive, Repair-Based Planning and Scheduling for Shuttle Payload Operations}, author={Gregg Rabideau and Steve Chien and Peter Stone and Jason Willis and Curt Eggemeyer and Tobias Mann}, booktitle={Proceedings of the 1997 IEEE Aerospace Conference}, month={February}, address={Aspen, CO}, pages={325-341}, url="http://nn.cs.utexas.edu/?dcaps97", year={1997} }
People
Peter Stone
pstone [at] cs utexas edu
Areas of Interest
Planning