Home /Research /Position and force hybrid control of robotic manipulator by neural network. Adaptive control of 2 D.O.F manipulators.
MANIPULATION

Position and force hybrid control of robotic manipulator by neural network. Adaptive control of 2 D.O.F manipulators.

Masatoshi Tokita, Toyokazu Mituoka, Toshio Fukuda, Takanori Shibata

Year
1991
Citations
2
Access
Open access

Abstract

In this paper, a position/force hybrid control of a robotic manipulator based on a neural network model is proposed with consideration of the dynamics of objects and the orientations of the robotic manipulator.

Keywords

Control theory (sociology)PID controllerPosition (finance)Artificial neural networkController (irrigation)Control engineeringProcess (computing)Robot manipulatorComputer scienceAdaptability

Related papers

Browse all MANIPULATION papers