Planar Grasping Characterization Based on Curvature-Symmetry Fusion

  • Authors:
  • P. J. Sanz;J. M. Iñesta;A. P. Del Pobil

  • Affiliations:
  • Departamento de Informática, Universitat Jaume I, Campus de Penyeta Roja, 12071-Castellón, Spain. sanzp@inf.uji.es;Departamento de Informática, Universitat Jaume I, Campus de Penyeta Roja, 12071-Castellón, Spain. inesta@inf.uji.es;Departamento de Informática, Universitat Jaume I, Campus de Penyeta Roja, 12071-Castellón, Spain. pobil@inf.uji.es

  • Venue:
  • Applied Intelligence
  • Year:
  • 1999

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Abstract

A new strategy is presented to simplify the real-timedetermination of grasping points in unknown objects from 2D images.We work with a parallel-jaw gripper and assume point contact withfriction, taking into account stability conditions. This strategy issupported by a new tool that permits to establish a supervisormechanism with the aim to seek grasping points from geometricreasoning on the contours extracted from 2D images captured by thesystem in execution time. This approach is named “curvature-symmetryfusion” (CSF) and its objective is to integrate curvature andsymmetry knowledge in a single data structure to provide thenecessary information to predict the more suitable directions used bya supervisor mechanism described below. These algorithms have beenimplemented on a SCARA manipulator with one end point mounted camera.Visual feedback was used in the control system and the total time forthe execution is about 2 or 3 seconds in our inexpensive prototype,making real applications feasible.