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Object shape recognition and grasping by five-fingered robotic hand based on E-ANFIS model

  • German Aerospace Center

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a method for object shape recognition and the real-time grasping of unknown plane objects only using the positions information of robotic hand fingers. We aim to recover the shape, position and orientation of the grasped object by random five grasping points and the vision system in Cartesian space. A highly intelligent information fusion model which is combined with the Expert system and multiple ANFIS models (E-ANFIS model) is presented to solve the problem above and the validity of the proposed method is demonstrated by simulations.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009
Pages1075-1080
Number of pages6
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009 - Guilin, China
Duration: 19 Dec 200923 Dec 2009

Publication series

Name2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009

Conference

Conference2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009
Country/TerritoryChina
CityGuilin
Period19/12/0923/12/09

Keywords

  • E-ANFIS model
  • Mulitfingered hand
  • Shape recognition

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