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IROS 2011

Graspability map: A tool for evaluating grasp capabilities

Conference Paper Accepted Paper Artificial Intelligence · Robotics

Abstract

This paper presents the graspability map, a novel approach to represent for a particular object the positions and orientations that a given mechanical hand can adopt to achieve a force closure precision grasp. The algorithm is based on the intersection between the fingertip workspaces and the object, plus the verification of a necessary condition for force closure grasps. The maps are computed offline and can be used for comparing the grasp capabilities of different mechanical hands with respect to some benchmark objects. The maps have also potential applications in online grasp and manipulation planning.

Authors

Keywords

  • Force
  • Friction
  • Planning
  • Databases
  • Robots
  • Kinematics
  • Three dimensional displays
  • Verification Of Conditions
  • Friction Coefficient
  • Convex Hull
  • Arm Movements
  • Object Surface
  • Hand Position
  • Cup Of Coffee
  • Collision Detection
  • Six-dimensional
  • Parallelepiped
  • Robotic Hand
  • Number Of Poses
  • Rapidly-exploring Random Tree

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
686446406496131035
v2026.09.13