Artificial Intelligence - Special issue on knowledge representation
Artificial Intelligence
Inferring state constraints for domain-independent planning
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Model-based computing: developing flexible machine control software
Artificial Intelligence - Special issue on applications of artificial intelligence
Digital Control of Dynamic Systems
Digital Control of Dynamic Systems
A* with Partial Expansion for Large Branching Factor Problems
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Visopt ShopFloor: On the Edge of Planning and Scheduling
CP '02 Proceedings of the 8th International Conference on Principles and Practice of Constraint Programming
Multiobjective heuristic state-space planning
Artificial Intelligence
Constraint-Based Attribute and Interval Planning
Constraints
Partitioning of Temporal Planning Problems in Mixed Space Using the Theory of Extended Saddle Points
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Maximizing over multiple pattern databases speeds up heuristic search
Artificial Intelligence
An approach to efficient planning with numerical fluents and multi-criteria plan quality
Artificial Intelligence
From precedence constraint posting to partial order schedules: A CSP approach to Robust Scheduling
AI Communications - Constraint Programming for Planning and Scheduling
Regression with respect to sensing actions and partial states
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
On-line planning and scheduling: an application to controlling modular printers
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
On reasonable and forced goal orderings and their use in an agenda-driven planning algorithm
Journal of Artificial Intelligence Research
The FF planning system: fast plan generation through heuristic search
Journal of Artificial Intelligence Research
PDDL2.1: an extension to PDDL for expressing temporal planning domains
Journal of Artificial Intelligence Research
Sapa: a multi-objective metric temporal planner
Journal of Artificial Intelligence Research
Planning through stochastic local search and temporal action graphs in LPG
Journal of Artificial Intelligence Research
Temporal planning using subgoal partitioning and resolution in SGPlan
Journal of Artificial Intelligence Research
Planning for contingencies: a decision-based approach
Journal of Artificial Intelligence Research
The automatic inference of state invariants in TIM
Journal of Artificial Intelligence Research
Temporal planning with mutual exclusion reasoning
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Synchronized control in a large-scale networked distributed printing system
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Slack-based heuristics for constraint satisfaction scheduling
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Improved limited discrepancy search
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Everything you always wanted to know about planning (but were afraid to ask)
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Heuristic search when time matters
Journal of Artificial Intelligence Research
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We present a case study of artificial intelligence techniques applied to the control of production printing equipment. Like many other real-world applications, this complex domain requires high-speed autonomous decision-making and robust continual operation. To our knowledge, this work represents the first successful industrial application of embedded domain-independent temporal planning. Our system handles execution failures and multi-objective preferences. At its heart is an on-line algorithm that combines techniques from state-space planning and partial-order scheduling. We suggest that this general architecture may prove useful in other applications as more intelligent systems operate in continual, on-line settings. Our system has been used to drive several commercial prototypes and has enabled a new product architecture for our industrial partner. When compared with state-of-the-art off-line planners, our system is hundreds of times faster and often finds better plans. Our experience demonstrates that domain-independent AI planning based on heuristic search can flexibly handle time, resources, replanning, and multiple objectives in a high-speed practical application without requiring hand-coded control knowledge.