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Qualitative Sonar Based Environment Learning for Mobile Robots

Maja J. Matarić

Year
1990
Citations
12

Abstract

We present a method for navigation and environment learning based on active sensing using sonar and a compass. The method consists of a set of incrementally designed behaviors for extracting environment features from the sensory data. The features are stored in a totally distributed list of augmented finite state machines which serves as a decentralized world model.

Keywords

Computer scienceSonarCompassMobile robotRobotArtificial intelligenceSet (abstract data type)Finite-state machineHuman–computer interactionComputer vision

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