Development of an intelligent vibration gripper

Satoshi Honda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

An intelligent vibration gripper has been developed. The gripper can handle an object of unknown weight and unknown surface conditions with the most suitable grasping force. Additionally, the gripper can adapt the grasping force to the most suitable value for the object even if the weight and the surface conditions of the object change. The gripper has two parallel fingers. Each finger is composed of a mechanical vibration system with two mass blocks and two springs. In one mass block, a harmonic force is always generated and is absorbed by a dynamic damper consisting of another mass block and a spring, so that one mass block is kept in a stationary condition. The object is grasped by stationary blocks on both sides. When the object is grasped with the most suitable grasping force, the object and all of the mass blocks become stationary because harmonic forces are transmitted to the object and the two harmonic forces cancel out each other. In this gripper, the grasping force is adjusted to the most suitable values by detecting the amplitudes of the dynamic dampers. This paper describes a fundamental principle of a new vibration gripper.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsGeorge E. Foret, Kam C. Lau, Bart O. Nnaji
Pages170-177
Number of pages8
Publication statusPublished - 1995 Dec 1
EventMachine Tool, In-Line, and Robot Sensors and Controls - Philadelphia, PA, USA
Duration: 1995 Oct 251995 Oct 26

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2595
ISSN (Print)0277-786X

Other

OtherMachine Tool, In-Line, and Robot Sensors and Controls
CityPhiladelphia, PA, USA
Period95/10/2595/10/26

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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