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A Framework for Programming Embedded Systems: Initial Design and Results (1998)

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by Sebastian Thrun
Citations:14 - 2 self
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@TECHREPORT{Thrun98aframework,
    author = {Sebastian Thrun},
    title = {A Framework for Programming Embedded Systems: Initial Design and Results},
    institution = {},
    year = {1998}
}

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Abstract

This paper describes CES, a proto-type of a new programming language for robots and other embedded systems, equipped with sensors and actuators. CES contains two new ideas, currently not found in other programming languages: support of computing with uncertain information, and support of adaptation and teaching as a means of programming. These innovations facilitate the rapid development of software for embedded systems, as demonstrated by a mobile robot application.

Citations

6231 Maximum likelihood from incomplete data via the EM algorithm - Dempster, Laird - 1977
5664 Probabilistic Reasoning in Intelligent Systems - Pearl - 1988
3143 Classification and Regression Trees - Breiman, Friedman, et al. - 1983
2959 Artificial Intelligence: a Modern Approach - Russell, Norvig - 1995
2827 Reinforcement Learning: An Introduction - Sutton, Barto - 1998
2458 Genetic Programming: On the Programming of Computers by Means of Natural Selection - Koza - 1992
2304 Learning Internal Representations by Error Propagation - Rumelhart, Hinton, et al. - 1986
1446 A new approach to linear filtering and prediction problems - Kalman - 1960
1135 Learning from delayed rewards - Watkins - 1989
1134 Reinforcement learning: A survey - Kaelbling, Littman, et al. - 1996
911 Condensation: conditional density propagation for visual tracking - Isard - 1998
784 Learning logical definitions from relations - Quinlan - 1989
712 Intelligence without reason - Brooks - 1991
710 A tutorial on learning with Bayesian networks - Heckerman - 1995
666 An introduction to hidden Markov models - Rabiner, Juang - 1986
639 Genetic Programming II: Automatic Discovery of Reusable Programs - Koza - 1994
576 Applied Optimal Estimation - Gelb - 1974
498 Markov Decision Processes - Puterman - 1994
490 Robust monte carlo localization for mobile robots - Thrun, Fox, et al. - 2000
473 Intractability and Time-Dependent Planning - Dean - 1987
472 Learning to act using real-time dynamic programming - Barto, Bradtke, et al. - 1995
468 Explanation-Based Generalization: A Unifying View - Mitchell, Keller, et al. - 1986
445 An introduction to the kalman filter - Welch, Bishop - 1995
396 A model for reasoning about persistence and causation - Dean, Kanazawa - 1990
368 A Learning Algorithm for Continually Running Fully Recurrent Neural Networks’, Neural computation - Williams, Zipser - 1989
359 A probabilistic approach to concurrent mapping and localization for mobile robots - Thrun, Burgard, et al. - 1998
339 Logic for Problem Solving - Kowalski - 1979
334 Practical issues in temporal difference learning - Tesauro - 1992
333 Explanation-Based Learning: An Alternative View - DeJong, Mooney - 1986
315 Fusion in Certainty Grids for Mobile Robots - Moravec - 1988
300 Generalization in reinforcement learning: Successful examples using sparse coarse coding - Sutton - 1996
278 The vector field histogram—fast obstacle avoidance for mobile robots - Borenstein, Koren - 1991
267 Sonar-based real-world mapping and navigation - Elfes - 1990
255 Probabilistic Horn abduction and Bayesian networks - Poole - 1993
248 S.: Robot learning from demonstration - Atkeson, Schaal - 1997
246 Chunking in Soar: The anatomy of a general learning mechanism - Laird, Rosenbloom, et al. - 1986
241 An investigation into reactive planning in complex domains - Firby - 1987
239 An analysis of first-order logics of probability - Halpern - 1990
231 Probabilistic robot navigation in partially observable environments - Simmons, Koenig - 1995
228 Neural Network Perception for Mobile Robot Guidance - Pomerleau - 1992
223 Generalization in reinforcement learning: safely approximating the value function - Boyan, Moore - 1995
222 Motivated reinforcement learning - Dayan - 2002
222 Learning metric-topological maps for indoor mobile robot navigation - Thrun - 1998
221 An Introduction to Fuzzy Control - Driankov, Hellendoorn, et al. - 1993
214 A Robot That Walks; Emergent Behaviors from a Carefully Evolved Network. Memo 1091 - Brooks - 1989
212 Reinforcement learning with hierarchies of machines - Parr, Russell - 1998
202 Learning policies for partially observable environments: Scaling up - Littman, Cassandra, et al.
190 Learning to coordinate behaviors - Maes, Brooks - 1990
189 Stochastic Models, Estimation and Control, volume 1 - Maybeck - 1979
165 Acting under uncertainty: Discrete bayesian models for mobile robot navigation - Cassandra, Kaelbling, et al. - 1996
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