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Safe navigating system for indoor environments

Jorge Corsino Espino, Bruno Steux, Oussama El Hamzaoui

Year
2011
Citations
4

Abstract

In this paper we describe a new method for autonomous navigation and exploration in indoor environments. This method is similar to artificial potential fields, keeping the robot at a safe distance from obstacles. We introduce a new concept to achieve the goal based on distances to obstacles following the shortest safety trajectory. This exploration and navigation method is tested using a simulated and a real mobile robot. This system proved its capabilities during the CAROTTE Robotics Contest. Our team CoreBots, won the first edition of this contest using this method.

Keywords

CONTESTComputer scienceMobile robotTrajectoryRoboticsRobotArtificial intelligenceComputer visionHuman–computer interactionReal-time computing

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