Title :
Execution monitoring and recovery planning with time
Author :
Musliner, David J. ; Durfee, Edmund H. ; Shin, Kang G.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Focusing on the J.F. Allen and J.A. Koomen (1983) temporal planning scheme, the authors characterize the possible locations for failure during plan execution. By observing the interval collapse criterion during plan generation, the planner is able to integrate the planning of goal-directed actions and execution verification actions. This allows the planner to schedule sensor usage and reason about sensing and data processing delays. The authors also present a simple and robust recovery planning scheme which inserts corrective steps into the original plan. The authors generate purely inserted recovery plans efficiently, without destroying the original plan and without unnecessary temporal inferencing
Keywords :
computerised monitoring; delays; fault location; planning (artificial intelligence); scheduling; system recovery; corrective steps; data processing delays; execution monitoring; execution verification actions; failure location; goal-directed actions; interval collapse criterion; plan execution; plan generation; reasoning; recovery planning; sensing delays; sensor usage scheduling; temporal planning scheme; Artificial intelligence; Computerized monitoring; Condition monitoring; Data processing; Delay; Logic; Predictive models; Robots; Robustness; Sensor phenomena and characterization;
Conference_Titel :
Artificial Intelligence Applications, 1991. Proceedings., Seventh IEEE Conference on
Conference_Location :
Miami Beach, FL
Print_ISBN :
0-8186-2135-4
DOI :
10.1109/CAIA.1991.120897