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.

HTML

In Proceedings of the 1997 IEEE Aerospace Conference, pp. 325-341, Aspen, CO, February 1997.

@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://www.cs.utexas.edu/users/ai-lab?dcaps97", year={1997} }