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WS 2021
Compulsory optional subject: Elective Courses 2TypeSPPSECTS-Credits
Arithmetic Modules for VLSI/SoC Design ILV 3,5 5,0 M-ISCD-3.10
LectureTypeSPPSECTS-CreditsCourse number
System Modeling and Verification - Analog ILV 2,0 3,0 M-ISCD-3.07
Specialization Area: ElectronicsTypeSPPSECTS-Credits
Integrated Circuits Basics ILV 2,0 2,0 B2.05272.50.390
Specialization Area: ElectronicsTypeSPPSECTS-Credits
Integrated Circuits Basics ILV 2,0 2,0 B2.05272.50.390
SS 2021
LectureTypeSPPSECTS-CreditsCourse number
Digital Design with HDL ILV 5,0 7,0 M-ISCD-2.04
IC Design and Implementation PT 4,0 5,0 M-ISCD-2.05
Master Thesis MT 0,0 24,0 M-ISCD-4.01
Master Thesis - Seminar ILV 4,0 6,0 M-ISCD-4.02
System Modeling and Verification - Digital ILV 3,0 4,0 M-ISCD-2.02
LectureTypeSPPSECTS-CreditsCourse number
Bachelor's thesis seminar 2 SE 1,0 1,0 B2.05270.60.480
Bachelor's exam DP 0,0 2,0 B2.05270.60.470
TitelAutorJahr
Modelling of Class D amplifier for Sensor Applications with IEEE 1666.1 David Kwaku Okyere DARKWAH 2021
TitelAutorJahr
Modelling of Class D amplifier for Sensor Applications with IEEE 1666.1 David Kwaku Okyere DARKWAH 2021
TitelAutorJahr
TEMPERATURE CONTROL SYSTEM
  • Xinying FU
  • 2021
    Sinewave generator for capacitive sensor applications
  • Josip Plazonic
  • 2020
    TitelAutorJahr
    TEMPERATURE CONTROL SYSTEM
  • Xinying FU
  • 2021
    TitelAutorJahr
    Sinewave generator for capacitive sensor applications
  • Josip Plazonic
  • 2020
    Run-TimeMay/2021 - December/2022
    Project management
  • Dongning Zhao
  • Project staff
  • Wolfgang Scherr
  • Manfred Ley
  • Mehdi MORADIAN BOVANLOO
  • Bernd Filipitsch
  • Corinna Maria Kudler
  • Vinayak Hande
  • ForschungsschwerpunktSensorik
    Studiengang
  • Integrated Systems and Circuits Design
  • ForschungsprogrammForschung, Entwicklung und Innovation, EFRE
    Förderinstitution/Auftraggeber
  • KWF - Kärntner Wirtschaftsförderungsfonds
  • Current robot systems are limited in their abilities of safe physical interaction with humans and objects in the real world. Tasks performed by robots are slow, rather simple, and not optimal as it is often necessary to isolate robots (e.g. behind fences) to avoid collisions. This makes these robots not suitable for user needs where they are expected to add value in several application areas. There is a critical socio-economic need to endow robots with the abilities of safe and effective interaction with humans and objects in their environment. One of the reasons for today's robots' limitations is the missing ability to comprehensively perceive the environment in real-time, understand situations, predict potential actions and reason about action consequences and risks. Such abilities are fundamental for interaction with humans and the world and for task specific adaptation of actions based on such interaction and experience. In order to address these topics, sensors for the perception of the environment which are co-designed with specific integrated circuits are core elements. Consequently, the scientific and technological objective of PATTERN-Skin is to develop a novel embodied bendable and potentially stretchable multimodal modular robot skin that provides robots with unprecedented sensing abilities facilitating contact-based/tactile and contact-less multimodal exploration of the world towards safe human-robot interaction. Besides the physical realization of the skin modules, also physically accurate real time simulations (“digital twin”) will be developed that allow to optimize and tailor skin configurations for robots and applications. Based on this sensor skin and the corresponding digital twin, PATTERN-Skin will investigate model based and AI-based methods to obtain representations of the environment towards the utilization in safe control strategies and aiming to meet requirements as defined e.g. in the ISO 15066 and 10218 safety standards. With respect to safe, reliable, and secure assembly of full systems from a number of individual sensor skin modules, a unified design pattern utilizing Near Field Communication (NFC) and hardware security elements will be investigated for both wired and wireless connectivity. By equipping robots with this enhanced sensing and interaction abilities, PATTERN-Skin is expected to impact a wide range of robotics applications ranging from personal care and assistance to agile logistics and manufacturing. The developed technologies and methods will be open, modular, and non-proprietary.

     

    Dieses Projekt wird aus Mitteln des Europäischen Fonds für regionale Entwicklung kofinanziert.

     

    REACT-EU ALS TEIL DER REAKTION DER UNION AUF DIE COVID-19-PANDEMIE FINANZIERT.

     

    Nähere Informationen zu IWB/EFRE finden Sie auf www.efre.gv.at

    Run-TimeJanuary/2020 - November/2022
    Project management
  • Johannes Sturm
  • Project staff
  • Corinna Maria Kudler
  • Michael Köberle
  • Wolfgang Scherr
  • ForschungsschwerpunktHochfrequenztechnik
    Studiengang
  • Integrated Systems and Circuits Design
  • ForschungsprogrammKooperative Forschung
    Förderinstitution/Auftraggeber
  • Silicon Austria Labs GmbH
  • The main goal of the Project is to develop an agile analog design methodology where the IC analog engineering knowledge will be captured in executable generators.

    The target of the project is to design of basic analog blocks and systems that will be reused across different SOCs and CMOS technologies.

    • Silicon Austria Labs GmbH (Fördergeber/Auftraggeber)
    Run-TimeJanuary/2020 - November/2022
    Project management
  • Johannes Sturm
  • Project staff
  • Corinna Maria Kudler
  • Michael Köberle
  • Wolfgang Scherr
  • ForschungsschwerpunktHochfrequenztechnik
    Studiengang
  • Integrated Systems and Circuits Design
  • ForschungsprogrammKooperative Forschung
    Förderinstitution/Auftraggeber
  • Silicon Austria Labs GmbH
  • The main goal of the Project is to develop an agile analog design methodology where the IC analog engineering knowledge will be captured in executable generators.

    The target of the project is to design of basic analog blocks and systems that will be reused across different SOCs and CMOS technologies.

    • Silicon Austria Labs GmbH (Fördergeber/Auftraggeber)
    Run-TimeMay/2021 - December/2022
    Project management
  • Dongning Zhao
  • Project staff
  • Wolfgang Scherr
  • Manfred Ley
  • Mehdi MORADIAN BOVANLOO
  • Bernd Filipitsch
  • Corinna Maria Kudler
  • Vinayak Hande
  • ForschungsschwerpunktSensorik
    Studiengang
  • Integrated Systems and Circuits Design
  • ForschungsprogrammForschung, Entwicklung und Innovation, EFRE
    Förderinstitution/Auftraggeber
  • KWF - Kärntner Wirtschaftsförderungsfonds
  • Current robot systems are limited in their abilities of safe physical interaction with humans and objects in the real world. Tasks performed by robots are slow, rather simple, and not optimal as it is often necessary to isolate robots (e.g. behind fences) to avoid collisions. This makes these robots not suitable for user needs where they are expected to add value in several application areas. There is a critical socio-economic need to endow robots with the abilities of safe and effective interaction with humans and objects in their environment. One of the reasons for today's robots' limitations is the missing ability to comprehensively perceive the environment in real-time, understand situations, predict potential actions and reason about action consequences and risks. Such abilities are fundamental for interaction with humans and the world and for task specific adaptation of actions based on such interaction and experience. In order to address these topics, sensors for the perception of the environment which are co-designed with specific integrated circuits are core elements. Consequently, the scientific and technological objective of PATTERN-Skin is to develop a novel embodied bendable and potentially stretchable multimodal modular robot skin that provides robots with unprecedented sensing abilities facilitating contact-based/tactile and contact-less multimodal exploration of the world towards safe human-robot interaction. Besides the physical realization of the skin modules, also physically accurate real time simulations (“digital twin”) will be developed that allow to optimize and tailor skin configurations for robots and applications. Based on this sensor skin and the corresponding digital twin, PATTERN-Skin will investigate model based and AI-based methods to obtain representations of the environment towards the utilization in safe control strategies and aiming to meet requirements as defined e.g. in the ISO 15066 and 10218 safety standards. With respect to safe, reliable, and secure assembly of full systems from a number of individual sensor skin modules, a unified design pattern utilizing Near Field Communication (NFC) and hardware security elements will be investigated for both wired and wireless connectivity. By equipping robots with this enhanced sensing and interaction abilities, PATTERN-Skin is expected to impact a wide range of robotics applications ranging from personal care and assistance to agile logistics and manufacturing. The developed technologies and methods will be open, modular, and non-proprietary.

     

    Dieses Projekt wird aus Mitteln des Europäischen Fonds für regionale Entwicklung kofinanziert.

     

    REACT-EU ALS TEIL DER REAKTION DER UNION AUF DIE COVID-19-PANDEMIE FINANZIERT.

     

    Nähere Informationen zu IWB/EFRE finden Sie auf www.efre.gv.at

    Run-TimeJanuary/2020 - November/2022
    Project management
  • Johannes Sturm
  • Project staff
  • Corinna Maria Kudler
  • Michael Köberle
  • Wolfgang Scherr
  • ForschungsschwerpunktHochfrequenztechnik
    Studiengang
  • Integrated Systems and Circuits Design
  • ForschungsprogrammKooperative Forschung
    Förderinstitution/Auftraggeber
  • Silicon Austria Labs GmbH
  • The main goal of the Project is to develop an agile analog design methodology where the IC analog engineering knowledge will be captured in executable generators.

    The target of the project is to design of basic analog blocks and systems that will be reused across different SOCs and CMOS technologies.

    • Silicon Austria Labs GmbH (Fördergeber/Auftraggeber)
    Run-TimeMay/2021 - December/2022
    Project management
  • Dongning Zhao
  • Project staff
  • Wolfgang Scherr
  • Manfred Ley
  • Mehdi MORADIAN BOVANLOO
  • Bernd Filipitsch
  • Corinna Maria Kudler
  • Vinayak Hande
  • ForschungsschwerpunktSensorik
    Studiengang
  • Integrated Systems and Circuits Design
  • ForschungsprogrammForschung, Entwicklung und Innovation, EFRE
    Förderinstitution/Auftraggeber
  • KWF - Kärntner Wirtschaftsförderungsfonds
  • Current robot systems are limited in their abilities of safe physical interaction with humans and objects in the real world. Tasks performed by robots are slow, rather simple, and not optimal as it is often necessary to isolate robots (e.g. behind fences) to avoid collisions. This makes these robots not suitable for user needs where they are expected to add value in several application areas. There is a critical socio-economic need to endow robots with the abilities of safe and effective interaction with humans and objects in their environment. One of the reasons for today's robots' limitations is the missing ability to comprehensively perceive the environment in real-time, understand situations, predict potential actions and reason about action consequences and risks. Such abilities are fundamental for interaction with humans and the world and for task specific adaptation of actions based on such interaction and experience. In order to address these topics, sensors for the perception of the environment which are co-designed with specific integrated circuits are core elements. Consequently, the scientific and technological objective of PATTERN-Skin is to develop a novel embodied bendable and potentially stretchable multimodal modular robot skin that provides robots with unprecedented sensing abilities facilitating contact-based/tactile and contact-less multimodal exploration of the world towards safe human-robot interaction. Besides the physical realization of the skin modules, also physically accurate real time simulations (“digital twin”) will be developed that allow to optimize and tailor skin configurations for robots and applications. Based on this sensor skin and the corresponding digital twin, PATTERN-Skin will investigate model based and AI-based methods to obtain representations of the environment towards the utilization in safe control strategies and aiming to meet requirements as defined e.g. in the ISO 15066 and 10218 safety standards. With respect to safe, reliable, and secure assembly of full systems from a number of individual sensor skin modules, a unified design pattern utilizing Near Field Communication (NFC) and hardware security elements will be investigated for both wired and wireless connectivity. By equipping robots with this enhanced sensing and interaction abilities, PATTERN-Skin is expected to impact a wide range of robotics applications ranging from personal care and assistance to agile logistics and manufacturing. The developed technologies and methods will be open, modular, and non-proprietary.

     

    Dieses Projekt wird aus Mitteln des Europäischen Fonds für regionale Entwicklung kofinanziert.

     

    REACT-EU ALS TEIL DER REAKTION DER UNION AUF DIE COVID-19-PANDEMIE FINANZIERT.

     

    Nähere Informationen zu IWB/EFRE finden Sie auf www.efre.gv.at

    Run-TimeJanuary/2020 - November/2022
    Project management
  • Johannes Sturm
  • Project staff
  • Corinna Maria Kudler
  • Michael Köberle
  • Wolfgang Scherr
  • ForschungsschwerpunktHochfrequenztechnik
    Studiengang
  • Integrated Systems and Circuits Design
  • ForschungsprogrammKooperative Forschung
    Förderinstitution/Auftraggeber
  • Silicon Austria Labs GmbH
  • The main goal of the Project is to develop an agile analog design methodology where the IC analog engineering knowledge will be captured in executable generators.

    The target of the project is to design of basic analog blocks and systems that will be reused across different SOCs and CMOS technologies.

    • Silicon Austria Labs GmbH (Fördergeber/Auftraggeber)

    Please use this link for external references on the profile of Wolfgang Scherr: www.fh-kaernten.at/mitarbeiter-details?person=w.scherr