Buckley

Giergiel

Gierlak

Hendzel

Horikawa

Lewis

Šabanovic

Abstract
               In this article, innovative approaches to realization
of the wheeled mobile robots and manipulator
tracking are presented. Conceptions include application
of the neural-fuzzy systems to compensation of the controlled
system’s nonlinearities in the tracking control task.
Proposed control algorithms work on-line, contain structure,
that adapt to the changeable work conditions of the
controlled systems, and do not require the preliminary
learning. The algorithm was verification on the real object
which was a Scorbot - ER 4pc robotic manipulator and a
Pioneer - 2DX mobile robot.</jats:p

Magdalena Muszynska

Andrzej Burghardt

Krzysztof Kurc

Dariusz Szybicki

Crossref

Open Engineering

Verification hybrid control of a wheeled mobile robot and
manipulator

Verification hybrid control of a wheeled mobile robot and manipulator

Verification hybrid control of a wheeled mobile robot and manipulator

Abstract

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Crossref