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  Anytime sensing, planning and action: A practical model for robot control (1993) [50 citations — 18 self]

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by Shlomo Zilberstein, Stuart J. Russell
In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence
http://plan.mcs.drexel.edu/courses/itcr/zilbrussanytimesensplan.ps
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Abstract:

Anytime algorithms, whose quality of results improves gradually as computation time increases, provide useful performance components for timecritical planning and control of robotic systems. In earlier work, we introduced a compilation scheme for optimal composition of anytime algorithms. In this paper we present an implementation of a navigation system in which an off-line compilation process and a run-time monitoring component guarantee the optimal allocation of time to the anytime modules. The crucial meta-level knowledge is kept in the anytime library in the form of conditional performance profiles. We also extend the notion of gradual improvement to sensing and plan execution. The result is an efficient, flexible control for robotic systems that exploits the tradeoff between time and quality in planning, sensing and plan execution.

Citations

7715 Computers and Intractability: A Guide to the Theory of NP-Completeness – Garey, Johnson - 1979
481 An analysis of time-dependent planning – Dean, Boddy - 1988
183 Integrating Planning and Reacting in a Heterogeneous Asynchronous Architecture for Controlling RealWorld Mobile Robots – Gat - 1992
165 What are plans for – Agre, Chapman - 1990
150 Reasoning about beliefs and actions under computational resource constraints – Horvitz - 1987
86 Operational rationality through compilation of anytime algorithms – Zilberstein - 1993
77 Composing real-time systems – Russell, Zilberstein - 1991
23 Efficient resource-bounded reasoning in AT-RALPH – Zilberstein, Russell - 1992
8 Modeling by Computers – Lozano-PĂ©rez, Brooks - 1984