Interactive, Repair-Based Planning and Scheduling for Shuttle Payload Operations (1997)
Gregg Rabideau, Steve Chien, Peter Stone, Jason Willis, 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.
In Proceedings of the 1997 IEEE Aerospace Conference, pp. 325-341, Aspen, CO, February 1997.

Peter Stone Faculty pstone [at] cs utexas edu