Sensing and control of robotic manipulator by neural network

Toshio Fukuda; Takanori Shibata; Kazuhiro Kosuge; Fumihito Arai

doi:10.1109/icsmc.1991.169816

Sensing and control of robotic manipulator by neural network

Toshio Fukuda
, Takanori Shibata
, Kazuhiro Kosuge
, Fumihito Arai

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

1 Citation (Scopus)

Abstract

The neural network-based approach for sensing and control of robotic manipulators is presented. The authors corroborate the effectiveness of the proposed approach for impact control of a robotic manipulator. Since it is difficult to sense collisions and to control the robotic manipulator undergoing collisions, the proposed approach has robustness against the impact force. It also has the effectiveness in sensing and recognizing of collisions by using the proximity sensor.

Original language	English
Pages (from-to)	985-990
Journal	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	2
DOIs	https://doi.org/10.1109/icsmc.1991.169816
Publication status	Published - 1991
Externally published	Yes
Event	Conference Proceedings of the 1991 IEEE International Conference on Systems, Man, and Cybernetics - Charlottesville, VA, USA Duration: 13 Oct 1991 → 16 Oct 1991

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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title = "Sensing and control of robotic manipulator by neural network",

abstract = "The neural network-based approach for sensing and control of robotic manipulators is presented. The authors corroborate the effectiveness of the proposed approach for impact control of a robotic manipulator. Since it is difficult to sense collisions and to control the robotic manipulator undergoing collisions, the proposed approach has robustness against the impact force. It also has the effectiveness in sensing and recognizing of collisions by using the proximity sensor.",

author = "Toshio Fukuda and Takanori Shibata and Kazuhiro Kosuge and Fumihito Arai",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; Conference Proceedings of the 1991 IEEE International Conference on Systems, Man, and Cybernetics ; Conference date: 13-10-1991 Through 16-10-1991",

year = "1991",

doi = "10.1109/icsmc.1991.169816",

language = "English",

volume = "2",

pages = "985--990",

journal = "Proceedings of the IEEE International Conference on Systems, Man and Cybernetics",

issn = "0884-3627",

publisher = "IEEE",

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TY - JOUR

T1 - Sensing and control of robotic manipulator by neural network

AU - Fukuda, Toshio

AU - Shibata, Takanori

AU - Kosuge, Kazuhiro

AU - Arai, Fumihito

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 1991

Y1 - 1991

N2 - The neural network-based approach for sensing and control of robotic manipulators is presented. The authors corroborate the effectiveness of the proposed approach for impact control of a robotic manipulator. Since it is difficult to sense collisions and to control the robotic manipulator undergoing collisions, the proposed approach has robustness against the impact force. It also has the effectiveness in sensing and recognizing of collisions by using the proximity sensor.

AB - The neural network-based approach for sensing and control of robotic manipulators is presented. The authors corroborate the effectiveness of the proposed approach for impact control of a robotic manipulator. Since it is difficult to sense collisions and to control the robotic manipulator undergoing collisions, the proposed approach has robustness against the impact force. It also has the effectiveness in sensing and recognizing of collisions by using the proximity sensor.

UR - http://www.scopus.com/inward/record.url?scp=0026394885&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0026394885&origin=recordpage

U2 - 10.1109/icsmc.1991.169816

DO - 10.1109/icsmc.1991.169816

M3 - RGC 21 - Publication in refereed journal

SN - 0884-3627

VL - 2

SP - 985

EP - 990

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

T2 - Conference Proceedings of the 1991 IEEE International Conference on Systems, Man, and Cybernetics

Y2 - 13 October 1991 through 16 October 1991

ER -

Sensing and control of robotic manipulator by neural network

Abstract

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