Trabajo presentado al 1st Iberian Robotics Conference celebrado en Madrid del 28 al 29 de noviembre de 2013. ; In this article we propose a method for cooperatively building a scene map between a human and a robot by using a spatial relational model employed by the robot to interpret human descriptions of the scene. The description will consist in a set of spatial relations between the objects in the scene. The scene map will contain the position of these objects. For this end we propose a model based on the generation of scalar fields of applicability for each of the available relations. The method can be summarized as follows. In first place a person will come into the room and describe the scene to the robot, including in the description semantic information about the objects which the robot can't get from its sensors. From the description the robot will form the scene mental map. In second place the robot will sense the scene with a 2D range laser building the scene sensed map. The objects positions in the mental map will be used to guide the sensing process. In a third step the robot will fuse the two maps, linking the semantic information about the described objects to the corresponding sensed ones. The resulting map is called the scene enriched map. ; This work has been partially funded by Spanish Ministry of Economy and Competitiveness under pro ject TaskCo op DPI2010-17112. ; Peer Reviewed


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    Title :

    Human-robot collaborative scene mapping from relational descriptions


    Contributors:

    Publication date :

    2014-01-01



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



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