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Titlebook: Robotics in Alpe-Adria Region; Proceedings of the 2 Peter Kopacek Conference proceedings 1994 Springer-Verlag/Wien 1994 automation.computer

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Advanced Control Concepts for Industrial Robotseuronal networks. In the first part of this paper the optimal design of fuzzy controllers acting as common nonlinear time discrete controllers is investigated. In the second part artificial neuronal networks in connection with several controller structures are presented. Best results are obtained by
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IMProvement in Automation and Control Technology A Joint European initiative” is presented. The University Extension Centre, Vienna University of Technology, developed an interactive system oriented method for strategic technology forecasting. This method is strongly based on target oriented moderated discussions. The first part of the paper presents how this procedure was
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Robotic Research at the Scientific Academy of Lower Austriahree major groups working on different topics. These topics are: optimal path planning and control of industrial robots where special interest is laid on fuzzy controllers and neuronal networks, calculation and creation of flexible robotic assembly cells tasks based on the usage of databases and the
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Robot Wrist Configurations, Mechanisms and KinematicsP-R (roll-pitch-roll) and P-Y-R (pitch-yaw-roll) wrists. Singularity conditions are indicated for both cases. For R-P-R wrists, singularity is defined by the ratio of the angular velocity of each motor to the velocity around the degeneracy axis. For P-Y-R wrists, singularity is identified both by an
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Dynamic Model of a Mobile Robot for Analyzing End-effector Deviations Caused from Ground Unevennessy appearance of some disturbances such as ground unevenness. The model presented in this paper includes six degrees of freedom (6 DOF) for the robot and 6 DOF for the vehicle. A robot of type “manutec r3” with six degrees of freedom and a vehicle with two driven wheels and one supporting wheel (prod
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