Sensing and control of robotic manipulator by neural network

Toshio Fukuda, Takanori Shibata, Kazuhiro Kosuge, Fumihito Arai

Research output: Contribution to journalConference articlepeer-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 languageEnglish
Pages (from-to)985-990
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume2
Publication statusPublished - 1991 Dec 1
Externally publishedYes
EventConference Proceedings of the 1991 IEEE International Conference on Systems, Man, and Cybernetics - Charlottesville, VA, USA
Duration: 1991 Oct 131991 Oct 16

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'Sensing and control of robotic manipulator by neural network'. Together they form a unique fingerprint.

Cite this