3 research outputs found

    Topological-metric indoor path planning

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    W artykule przedstawiono eksperyment pos艂uguj膮cy si臋 metod膮 hybrydow膮: asocjacyjno-wizyjne podej艣cie - adaptacja metody QualNav oraz pomiar odleg艂o艣ci. Do praktycznej realizacji u偶yte robot Lego Mindstorms NXT 2.0, kamera telefonu kom贸rkowego oraz sonar. Eksperymenty wykaza艂y du偶膮 skuteczno艣膰 wykonanych polece艅. Scenariusz jest bardzo aktualny dla realizacji zada艅 autonomicznego poruszania si臋 w du偶ych salach gdzie cz臋sto pozycja i orientacja przedmiot贸w (krzes艂a, fotele, skrzynie itd.) nie jest sta艂a.Quality strategies used in mobile robot navigation [4][6] can be successfully supplemented by quantity ones [2, 8]. In this paper we present a path-planning approach based on a hybrid [1][7], topological-metric strategy. It is based on topological navigation [5] adapted to enclosed spaces, expanded with sonar data-updating. The landmarks are assumed to possess properties common to those of office furniture, additionally marked with a color - a time-saving simplification (Fig. 1). Measurements of the distance have a secondary role: the distance was only measured if unambiguous identification of the registered objects was not obtained. What is significant in this approach is that parts of the landmarks have a non-steady position: instead by a fixed point, their presence is described by a zone (Fig. 2). The main task executed by a vehicle is to follow a route achieving the end position. The command structure (giving the route) is a data sequence - edges which have to be crossed over by the robot (Fig. 3). Besides odometry difficulties [3, 8], the great localization accuracy and the time impact of the scanning angle of a robot (Fig. 4) was experimentally proved. Dependencies between the precision of task-execution (accuracy of position achievement), work duration and the scan-angle used by the robot were examined and described. All final observations are presented in Tab.1. The scan-angle of about 25o was suggested based on investigations. The used scenario is very suitable for large office halls, where the position of the objects (chairs, armchairs, chests, etc.) is often not constant
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