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A Comparison of Decision Making Criteria and Optimization Methods for Active Robotic Sensing.

Research output: Contribution to journalJournal article

Published

Journal publication date1/01/2003
JournalFirst European Symposium on Ambient Intelligence, Lecture Notes in Computer Science
Volume2542
Number of pages9
Pages316-324
Original languageEnglish

Abstract

This work presents a comparison of decision making criteria and optimization methods for active sensing in robotics. Active sensing incorporates the following aspects: (i ) where to position sensors, and (ii ) how to make decisions for next actions, in order to maximize information gain and minimize costs. We concentrate on the second aspect: “Where should the robot move at the next time step?”. Pros and cons of the most often used statistical decision making strategies are discussed. Simulation results from a new multisine approach for active sensing of a nonholonomic mobile robot are given.

Bibliographic note

The original publication is available at www.springerlink.com