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...
Published in: | IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM |
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2009
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350450993&doi=10.1109%2fAIM.2009.5229954&partnerID=40&md5=66557ef8fa2ef081c8773f0268871259 |
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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 |
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IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM |
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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. |
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English |
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scopus |
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Scopus |
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1818940563884343296 |