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Bilde av Shu, Beibei
Bilde av Shu, Beibei
Associate Professor Department of Industrial Engineering beibei.shu@uit.no +4776966269 +4791833417 Narvik You can find me here

Beibei Shu

Job description

Associate Professor and Researcher

  • Halldor Arnarson, Syed Abdur Rahman Tahir, Beibei Shu, Bernt Arild Bremdal, Bjørn Solvang :
    Intelligent and self-reconfigurable manufacturing system
    Procedia Computer Science 20. March 2024 DOI / ARKIV
  • Wei Deng Solvang, Bjørn Solvang, Forgo Zoltan, Heidi Kaartinen, Hao Yu, Beibei Shu :
    Educational Support for SMEs Transitioning from Industry 4.0 to Industry 5.0 - Insights and Lessons Learned from European Cooperation Projects
    2024 DOI / ARKIV
  • Miha Deniša, Aleš Ude, Mihael Simonič, Tero Kaarlela, Tomi Pitkäaho, Sakari Pieskä et al.:
    Technology Modules Providing Solutions for Agile Manufacturing
    Machines 2023 DOI / ARKIV
  • Tero Kaarlela, Halldor Arnarson, Tomi Pitkäaho, Beibei Shu, Bjørn Solvang, Sakari Pieskä :
    Common Educational Teleoperation Platform for Robotics Utilizing Digital Twins
    Machines 2022 DOI / ARKIV
  • Tero Kaarlela, Sakari Pieskä, Tomi Pitkäaho, Wei Deng Solvang, Beibei Shu, Halldor Arnarson et al.:
    Robot cell digital twins as a tool for remote collaboration between organizations
    2022
  • Beibei Shu, Halldor Arnarson, Bjørn Solvang, Tero Kaarlela, Sakari Pieskä :
    Platform independent interface for programming of industrial robots
    2022
  • Bjørn Solvang, Beibei Shu, Halldor Arnarson :
    The application of virtual reality in programming of a manufacturing cell
    2021 DOI
  • Halldor Arnarson, Bjørn Solvang, Beibei Shu :
    The application of open access middleware for cooperation among heterogeneous manufacturing systems
    2020 DOI / ARKIV
  • Mohammad Azarian, Hao Yu, Wei Deng Solvang, Beibei Shu :
    An Introduction of the Role of Virtual Technologies and Digital Twin in Industry 4.0
    Lecture Notes in Electrical Engineering 2020 DOI / ARKIV
  • Beibei Shu, Gabor Sziebig, Roel Pieters :
    Architecture for Safe Human-Robot Collaboration: Multi-Modal Communication in Virtual Reality for Efficient Task Execution
    Proceedings of the IEEE International Symposium on Industrial Electronics 2019 DOI / ARKIV / FULLTEKST
  • Beibei Shu, Gabor Sziebig :
    Collaboration with High-Payload Industrial Robots: Simulation for Safety
    Lecture Notes in Electrical Engineering 2019 DOI / ARKIV
  • Beibei Shu, Gabor Sziebig, Sakari Pieskä :
    Human-Robot Collaboration: Task Sharing Through Virtual Reality
    2018 DOI
  • Beibei Shu, Gabor Sziebig, Bjørn Solvang :
    Introduction of cyber-physical system in robotized press-brake line for metal industry
    Lecture Notes in Electrical Engineering 2018 DOI / ARKIV
  • Umair Najeeb Mughal, Beibei Shu :
    To Measure Relative Permittivity of Atmospheric Ice Using Frequency Sweep
    Sensors & Transducers Journal 2016 ARKIV
  • Umair Najeeb Mughal, Beibei Shu :
    Using AD5933 IC to Measure Dielectric Constant Variation of Atmospheric Ice
    International Conference on Sensor Technologies and Applications 2016

    • The 50 latest publications is shown on this page. See all publications in Cristin here →

    Research interests

    Research interests including several Industrial 4.0 related topics:
    Industrial robot - robot motion/production simulation, digital-twin, human-robot collaboration/interaction, robot kinematics.
    Computer science - OpenCV image processing, ToF camera (RealSense/Kinect) application, Speech recognition.
    Network communication - network routing, TCP/UDP, cybersecurity.

    Have experience in hardware circuit design (PCB), demo circuit welding/testing, SPI/I2C interface, Microcontroller, PLC.
    Familiar programming language: C/C++, Python, JavaScript


    Working in TRINITY project from 2019 for module and demonstration developing. Target at designing data acquisition and controlling system for digital twin of industrial robots.

    Targeting to improve human-robot interaction and manufacturing agility and flexibility, define and test a new robot programming architecture.

    Teaching

    Course manager of INE-3611 Digital Twin (Postgraduate level, from 2018), course manager of INE-3610 CIM (Postgraduate level, from 2025);

    INE-3611 Digital Twin: https://uit.no/utdanning/emner/emne/859831/ine-3611?ar=2025&semester=V

    INE-3610 CIM: https://uit.no/utdanning/aktivt/emne/INE-3610


    Member of research group

    ArcLog   Norsk innhold Intelligent Manufacturing and Logistics   English content
    Campus Narvik B4080


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