Task specific robust grasping for multifingered robot hands

George I. Boutselis, Charalampos P. Bechlioulis, Minas V. Liarokapis, Kostas J. Kyriakopoulos

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

Abstract

In this paper, we propose a complete methodology for deriving task-specific force closure grasps for multifingered robot hands under a wide range of uncertainties. Given a finite set of external disturbances representing the task to be executed, the concept of Q distance is introduced in a novel way to determine an efficient grasp with a task compatible hand posture (i.e., configuration and contact points). Our approach takes, also, into consideration the mechanical and geometric limitations imposed by the robotic hand design and the object to be grasped. In addition, incorporating our recent results on grasping [1], the ability of the robot hand to exert the required contact forces is maximized and robustness against positioning inaccuracies and object uncertainties is established. Finally, the efficiency of our approach is verified through an experimental study on the 15 DoF DLR/HIT II robotic hand attached at the end effector of the 7 DoF Mitsubishi PA10 robotic manipulator.

Original languageEnglish (US)
Title of host publicationIROS 2014 Conference Digest - IEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages858-863
Number of pages6
ISBN (Electronic)9781479969340
DOIs
StatePublished - Oct 31 2014
Event2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014 - Chicago, United States
Duration: Sep 14 2014Sep 18 2014

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014
Country/TerritoryUnited States
CityChicago
Period9/14/149/18/14

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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