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C-space characterization of contact preserving paths with application to tactile-sensor based mobile robot navigation | IEEE Conference Publication | IEEE Xplore

C-space characterization of contact preserving paths with application to tactile-sensor based mobile robot navigation


Abstract:

This paper considers the navigation of a three degrees-of-freedom mobile robot equipped with position and tactile sensors in an unknown planar environment. The paper focu...Show More

Abstract:

This paper considers the navigation of a three degrees-of-freedom mobile robot equipped with position and tactile sensors in an unknown planar environment. The paper focuses on the contact preserving segments of the robot's path. Any contact preserving path can trace a single or two simultaneous contacts. The paper establishes that motions involving two contacts induce two types of configuration-space curves: contractible loops representing passable gaps, and non- contractible loops representing impassable gaps. The paper identifies a generic class of contact preserving paths which requires only single-contact tracings with efficient transitions at double-contact configurations involving impassable gaps, and at triple-contact configurations involving both passable and impassable gaps. A preliminary tactile-sensor navigation algorithm based on these paths is illustrated with an example.
Date of Conference: 19-23 May 2008
Date Added to IEEE Xplore: 13 June 2008
ISBN Information:
Print ISSN: 1050-4729
Conference Location: Pasadena, CA, USA
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I. INTRODUCTION

This paper considers the navigation of a three degrees-of-freedom mobile robot in a planar environment populated by unknown obstacles. The robot has no apriori information about the environment, but may locally acquire this information using its on-board sensors. This class of on-line problems has a wide range of applications in unstructured environments where the robot must detect obstacles during task execution. Examples are material and mail delivery in factories and offices [1], medicine distribution in hospitals [6], horticulture duty in greenhouses [8], and planetary exploration and sample acquisition [10], [14]. Current sensor-based navigation algorithms usually assume that the robot moves with two translational degrees of freedom (two exceptions are discussed below). However, practical mobile robots move with three degrees of freedom involving translation and rotation. Since full maneuverability is often critical for task completion, there is a need to develop sensor based navigation algorithms that can plan the robot's full three degrees of freedom motions.

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