Mode reconstruction for source coding and multi-modal control

Authors:
Adam Austin;Magnus Egerstedt
Affiliations:
Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA;Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA
Venue:
HSCC'03 Proceedings of the 6th international conference on Hybrid systems: computation and control
Year:
2003

Citing 6
Cited 1

Elements of information theory

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An Behavior-based Robotics
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Dynamic Programming and Optimal Control
Stochastic Complexity in Statistical Inquiry Theory

Stochastic Complexity in Statistical Inquiry Theory
Introduction To Automata Theory, Languages, And Computation

Introduction To Automata Theory, Languages, And Computation

Sensor/actuator abstractions for symbolic embedded control design

HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control

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Abstract

In this paper we take the point of view that control procedures have an information theoretic content that can be more or less effectively coded. Of particular interest are control procedures for navigation and obstacle avoidance for mobile robots, and we show how tokenized instructions can be used for understanding how computer generated inputs to robotics systems should be defined, selected, and coded. To this end, a dynamic programming algorithm is developed for generating control procedures that are useful in given robotics applications.