JOURNAL ARTICLE

Grasp Planning for Multi-Fingered Hands Based on Rectangular Convex Models(Mechanical Systems)

Kensuke HaradaTokuo TsujiKenji KanekoFumio KanehiroKenichi Maruyama

Year: 2010 Journal:   TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C Vol: 76 (762)Pages: 331-339   Publisher: Japan Society Mechanical Engineers

Abstract

This paper discusses the grasp planning for a multifingered hand attached at the tip of a humanoid robot's arm. Different from previous methods on grasp planning, we use the reculangular convex models for both the object and the hand grasping region. By using these models, we provide heuristic methods for determining both a grasping style and nominal position/orientation of the palm. With this method, we can easily obtain the nominal position/orientation of the palm. The final grasping posture can be obtained by testing the force closure just around the nominal position/orientation of the palm. We will show the effectiveness of the proposed method by using several numerical examples. Also, by using the four-fingered hand and the stereo vision system both equipped with the humanoid robot HRP-3P, we will perform the experiment of grasping an object.

Keywords:
GRASP Humanoid robot Orientation (vector space) Computer vision Heuristic Artificial intelligence Computer science Position (finance) Object (grammar) Robot Regular polygon Mathematics Geometry

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Topics

Robot Manipulation and Learning
Physical Sciences →  Engineering →  Control and Systems Engineering
Robotic Mechanisms and Dynamics
Physical Sciences →  Engineering →  Control and Systems Engineering
Soft Robotics and Applications
Physical Sciences →  Engineering →  Biomedical Engineering

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