Planning the motions of a mobile robot in a sensory uncertainty field:

Abstract: "This paper introduces a new approach to motion planning with uncertainty for mobile robots. Given a model of the robot's environment, a 'sensory uncertainty field' (SUF) is computed over the robot's configuration space. At every configuration q, the SUF is an esti...

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Bibliographische Detailangaben
Hauptverfasser: Takeda, Haruo (VerfasserIn), Latombe, Jean-Claude (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Stanford, Calif. 1992
Schriftenreihe:Stanford University / Computer Science Department: Report STAN CS 1424
Schlagworte:
Zusammenfassung:Abstract: "This paper introduces a new approach to motion planning with uncertainty for mobile robots. Given a model of the robot's environment, a 'sensory uncertainty field' (SUF) is computed over the robot's configuration space. At every configuration q, the SUF is an estimate of the uncertainty (distribution of possible errors) in the 'sensed configuration' that would be computed by matching the data given by the robot sensors against the environment model, if the robot was at configuration q. A planner then makes use of the computed SUF to generate paths that minimize expected errors, so that their execution can be reliably monitored by the sensors
This paper describes in detail the computation of a SUF for a classical line-striping camera/laser range sensor. It presents an implemented SUF-based motion planner for a robot equipped with this sensor and analyzes experimental results produced with this planner. Finally, it discusses additional issues related to the SUF-based planning approach.
Beschreibung:31 S.

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