Grasp synthesis based on tactile sensation in robot manipulation of arbitrary located object

This paper analyzes grasp synthesis in multi-fingered robot arm equipped with a tactile sensor to handle objects located at arbitrary positions. We developed an 11-dof multi-fingered arm and a novel optical three-axis tactile sensor system based on an optical waveguide transduction method. The tacti...

Full description

Bibliographic Details
Published in:IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Main Author: Yussof H.; Wada J.; Ohka M.
Format: Conference paper
Language:English
Published: 2009
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350450993&doi=10.1109%2fAIM.2009.5229954&partnerID=40&md5=66557ef8fa2ef081c8773f0268871259
id 2-s2.0-70350450993
spelling 2-s2.0-70350450993
Yussof H.; Wada J.; Ohka M.
Grasp synthesis based on tactile sensation in robot manipulation of arbitrary located object
2009
IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM


10.1109/AIM.2009.5229954
https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350450993&doi=10.1109%2fAIM.2009.5229954&partnerID=40&md5=66557ef8fa2ef081c8773f0268871259
This paper analyzes grasp synthesis in multi-fingered robot arm equipped with a tactile sensor to handle objects located at arbitrary positions. We developed an 11-dof multi-fingered arm and a novel optical three-axis tactile sensor system based on an optical waveguide transduction method. The tactile sensor can simultaneously acquire normal and shearing forces. We analyzed normal and shear force distribution to grasp real object. The slippage direction acquired from the shear force data was used to control arm movements in the incipient grasp and release motion. Normal force is used to distinguish object stiffness and to generate optimum grasp pressure. The analysis results are compiled in a control algorithm inside the robot control system. The algorithm was evaluated in experiments with real objects, and the results revealed good performance of the robot arm when handling arbitrary located objects. ©2009 IEEE.


English
Conference paper

author Yussof H.; Wada J.; Ohka M.
spellingShingle Yussof H.; Wada J.; Ohka M.
Grasp synthesis based on tactile sensation in robot manipulation of arbitrary located object
author_facet Yussof H.; Wada J.; Ohka M.
author_sort Yussof H.; Wada J.; Ohka M.
title Grasp synthesis based on tactile sensation in robot manipulation of arbitrary located object
title_short Grasp synthesis based on tactile sensation in robot manipulation of arbitrary located object
title_full Grasp synthesis based on tactile sensation in robot manipulation of arbitrary located object
title_fullStr Grasp synthesis based on tactile sensation in robot manipulation of arbitrary located object
title_full_unstemmed Grasp synthesis based on tactile sensation in robot manipulation of arbitrary located object
title_sort Grasp synthesis based on tactile sensation in robot manipulation of arbitrary located object
publishDate 2009
container_title IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
container_volume
container_issue
doi_str_mv 10.1109/AIM.2009.5229954
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350450993&doi=10.1109%2fAIM.2009.5229954&partnerID=40&md5=66557ef8fa2ef081c8773f0268871259
description This paper analyzes grasp synthesis in multi-fingered robot arm equipped with a tactile sensor to handle objects located at arbitrary positions. We developed an 11-dof multi-fingered arm and a novel optical three-axis tactile sensor system based on an optical waveguide transduction method. The tactile sensor can simultaneously acquire normal and shearing forces. We analyzed normal and shear force distribution to grasp real object. The slippage direction acquired from the shear force data was used to control arm movements in the incipient grasp and release motion. Normal force is used to distinguish object stiffness and to generate optimum grasp pressure. The analysis results are compiled in a control algorithm inside the robot control system. The algorithm was evaluated in experiments with real objects, and the results revealed good performance of the robot arm when handling arbitrary located objects. ©2009 IEEE.
publisher
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
_version_ 1818940563884343296