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LIT Antrittsvorlesungen

Towards a Human-Centered Age of AI and Robotics

Univ.-Prof.in Dr.in Martina Mara, Psychology of Artificial Intelligence and Robotics

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Distributed Control Architectures for Adaptive Production Systems

Univ.-Prof. Dr. Alois Zoitl, Cyber Physical Systems for Engineering and Production

 

LIT Antrittsvorlesungen

Datum

5. November 2018

Uhrzeit

16.00 Uhr

Adresse

Johannes Kepler Universität Linz
Altenberger Straße 69
4040 Linz

Standort

Uni-Center, Festsaal A

Towards a Human-Centered Age of AI and Robotics

Artificial intelligence and robots are on the fast lane—and they entail many opportunities for humanity: From improving medical diagnoses to enabling greater autonomy for the elderly, from cleaning the house to optimizing energy efficiency. In the public discourse, however, smart technologies are customarily represented by the stereotypical image of the android, the artificial replication of human beings. Research on the uncanny valley phenomenon indicates that this depiction reflects a type of machine that feels particularly unsettling and threatening to many people. Based on empirical findings, Mara argues that a human-centered approach towards AI and robotics must foster new visions of complementary human-machine relationships instead of fueling fears of substitution. Furthermore, as many outside the expert circles still lack information about technical functions and are uncomfortable with technology they don’t understand, a human-centered approach also needs to demystify AI and robotics: By explaining basic technological concepts to the public and by designing machines that are explainable themselves.   

Univ.-Prof.in Dr.in Martina Mara LIT Robopsychology Lab

Distributed Control Architectures for Adaptive Production Systems

Manufacturing enterprises are facing major challenges as product life-cycles are shortening, product variability is increasing and global markets are getting more and more/progressively volatile. In order to stay competitive, production equipment and production facilities need to be more adaptive allowing to adjust to these changes quickly and efficiently. In the last few years, attempts in that direction have been summarized under the term Industry 4.0. A key success factor to achieve these goals is the control equipment. New distributed architectures are seen as a potential approach for mastering the new requirements. However, this changes demands for new interaction and communication patterns and also for new ways how the control devices and systems built from networked control devices are programmed. This talk shows first results on how to achieve this flexibility while at the same time keeping the complexity of these architectures under control.

Univ.-Prof. Dr. Alois Zoitl, LIT – Cyber-Physical Systems Lab