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• W2056881950 abstract "In this paper we describe how a humanoid robot can learn a representation of its own reachable space from motor experience: a Reachable Space Map. The map provides information about the reachability of a visually detected object (i.e. a 3D point in space). We propose a bio-inspired solution in which the map is built in a gaze-centered reference frame: the position of a point in space is encoded with the motor configuration of the robot head and eyes which allows the fixation of that point. We provide experimental results in which a simulated humanoid robot learns this map autonomously and we discuss how the map can be used for planning whole-body and bimanual reaching." @default.
• W2056881950 created "2016-06-24" @default.
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• W2056881950 date "2012-06-01" @default.
• W2056881950 modified "2023-09-25" @default.
• W2056881950 title "Learning the reachable space of a humanoid robot: A bio-inspired approach" @default.
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• W2056881950 doi "https://doi.org/10.1109/biorob.2012.6290729" @default.
• W2056881950 hasPublicationYear "2012" @default.
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