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      University of Skövde, link to startpage

      Richard Senington

      Senior Lecturer in Automation Engineering
      School of Engineering Science
      Room PA210O

      I am a computer scientist by training, gaining my PhD from the University of Leeds (UK) in 2013. After several years as a software consultant I returned to academia and have worked at the University of Skövde since 2016.

      I work with Magnus Holm within the EU funded SYMBIO-TIC which concerns itself with Human Robot Collaboration. My own research interests include  Functional Programming and Optimisation and the Industrial Internet of Things.

      Education

      Course
      7.5 credits
      Bachelor's (1st cycle)
      Course
      7.5 credits
      Bachelor's (1st cycle)
      Course
      6 credits
      Master's (2nd cycle)
      Course
      6 credits
      Master's (2nd cycle)
      Course
      6 credits
      Master's (2nd cycle)
      Course
      6 credits
      Master's (2nd cycle)
      Course
      3 credits
      Master's (2nd cycle)
      Course
      6 credits
      Master's (2nd cycle)
      Course
      18 credits
      Master's (2nd cycle)
      Course
      6 credits
      Master's (2nd cycle)
      Course
      6 credits
      Master's (2nd cycle)
      Course
      6 credits
      Master's (2nd cycle)

      Research

      2025

      Ludwig Mittermeier, Amos H. C. Ng, Richard Senington, Tommy Fässberg, Daniel Johansson

      23rd International Industrial Simulation Conference, ISC 2025

      2025. Conference paper.

      2024

      Martin Birtic, Richard Senington, Anna Syberfeldt

      Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)

      2024. Conference paper. https://doi.org/10.3233/ATDE240171 Open Access

      Ludwig Mittermeier, Richard Senington, Sunith Bandaru, Amos H. C. Ng

      Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)

      2024. Conference paper. https://doi.org/10.3233/ATDE240189 Open Access

      2022

      Richard Senington

      SPS2022: Proceedings of the 10th Swedish Production Symposium

      2022. Conference paper. https://doi.org/10.3233/ATDE220190 Open Access

      2021

      Magnus Holm, Richard Senington, Wei Wang, Jessica Lindblom

      Advanced Human-Robot Collaboration in Manufacturing

      2021. Chapter in book. https://doi.org/10.1007/978-3-030-69178-3_17

      Richard Senington, Bernard Schmidt, Anna Syberfeldt

      Computers in industry (Print)

      2021. Article. https://doi.org/10.1016/j.compind.2021.103433 Open Access

      2020

      Alexander E. I. Brownlee, Jerry Swan, Richard Senington, Zoltan A. Kocsis

      Optimization Letters

      2020. Article. https://doi.org/10.1007/s11590-019-01453-6 Open Access

      Nikolaos Nikolakis, Richard Senington, Konstantinos Sipsas, Anna Syberfeldt, Sotiris Makris

      Robotics and Computer-Integrated Manufacturing

      2020. Article. https://doi.org/10.1016/j.rcim.2019.101919 Open Access

      2018

      Richard Senington

      Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden

      2018. Conference paper. https://doi.org/10.3233/978-1-61499-902-7-273

      Ongoing projects

      Future-Proof Factories: The SMART Way to Resilient Production

      How can factories keep running when energy prices rise, machines break down, or labour conditions change suddenly? The SMART project explores this question by redefining how manufacturing works in Sweden. Its focus is on creating systems that are not only stronger and more adaptable but also environmentally responsible and centred around people.

      December 2025 - November 2029 Virtual Engineering

      Virtual Factories of the Future

      Virtual factories with knowledge-driven optimization (VF-KDO) is an eight-year research profile that is being coordinated by the University of Skövde. Research within this profile aims to help strengthen the competitiveness of Swedish industry.

      October 2018 - September 2026 Virtual Engineering

      Finished projects

      SUDO

      SUDO is a collaborative research project running over four years that addresses the urgent need to tackle new and emerging challenges related to different types of lock-in effects that impact on decision makers in companies when IT systems are developed, used, and deployed in complex application domains.

      October 2020 - September 2024 Informatics
      Published: 1/9/2020
      Edited: 1/9/2020
      Responsible: webmaster@his.se