Robot Control based on Neural Network Systems

CONNY - 6715

Keywords computer-integrated agriculture, inspection systems, neural networks, process control, robotics, space applications

Start Date: 30 April 1992 / Duration: 36 months / Status: ongoing

[ contact / participants ]

evaluation of the suitability and advantages of neural network techniques for complex robot control tasks and development of a set of corresponding neural network modules

Objectives and Approach

Modules are developed by utilising existing neural network techniques as well as through their enhancement and adaptation to the particular applications. Three demonstrators have been chosen:

These involve focusing on three task areas:

Results taken from the development environment part of the GALATEA project (5293) are exploited in this project.

The research and concept definition of the required neural network technology and specifications of the three demonstrators and the Development Environment have been completed. The concept definition involved developing new neural network based solutions.


Albrecht Kellner
MBB/ERNO Raumfahrttechnik
Hünefeldstr. 1-5
D-28199 Bremen
tel: +49 421 539-4987
fax: +49 421 539-4603
telex: 245548 ERNO D


MBB/ERNO Raumfahrttechnik [D]
Cram [I]
Mimetics SA [F]
Thomson-CSF -Laboratoire Électronique de Rennes [F]
Universidad Politecnica de Cataluña [E]
University College London [UK]
Associate Partner
Framentec SA [F]

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CONNY - 6715, December 1993

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html version of synopsis by Nick Cook