MERL - Mitsubishi Electric Research Laboratories

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Marcel Menner

Marcel Menner
  • Email: menner[at]merl[dot]com
Marcel's Quick Links

  • Biography

    Marcel's research interests include optimization-based control, machine learning, learning from human interactions, as well as their applications to vehicles and robots. During his Ph.D. research, he developed data-based control methodologies for improving the operation of dynamical systems.

  • Internships with Marcel

    • CA1529: Energy Management for Electric Vehicles

      MERL is looking for a highly motivated intern to conduct research on data-driven energy management strategies for (hybrid) electric vehicles. The candidate will develop methods that use data, e.g., of human drivers or traffic conditions, in order to improve the control of electric vehicles. The ideal candidate will have experience in either one or multiple of the following topics: model predictive control, machine learning, statistical learning, numerical optimization, and (inverse) optimal control. Prior experience with (hybrid) electric vehicles is a plus. Good programming skills in MATLAB, Python, or C/C++ are required. PhD students in engineering or mathematics with a focus on control theory or numerical optimization are encouraged to apply. Publication of relevant results in conference proceedings or journals is expected. The expected duration of the internship is 3-6 months. The start date is flexible. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    See All Internships at MERL

  • MERL Publications

    •  Menner, M., Berntorp, K., Di Cairano, S., "Inverse Learning for Data-driven Calibration of Model-based Statistical Path Planning", Transactions on Intelligent Vehicles, DOI: 10.1109/TIV.2020.3000323, July 2020.
      BibTeX TR2020-106 PDF
      • @article{Menner2020jul,
      • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
      • title = {Inverse Learning for Data-driven Calibration of Model-based Statistical Path Planning},
      • journal = {Transactions on Intelligent Vehicles},
      • year = 2020,
      • month = jul,
      • doi = {10.1109/TIV.2020.3000323},
      • url = {https://www.merl.com/publications/TR2020-106}
      • }
    •  Menner, M., Berntorp, K., Di Cairano, S., "Inverse Learning for Human-Adaptive Motion Planning", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9030020, December 2019.
      BibTeX TR2019-146 PDF
      • @inproceedings{Menner2019dec,
      • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
      • title = {Inverse Learning for Human-Adaptive Motion Planning},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2019,
      • month = dec,
      • doi = {10.1109/CDC40024.2019.9030020},
      • url = {https://www.merl.com/publications/TR2019-146}
      • }

  • Other Publications

    •  Lukas Hewing, Kim P Wabersich, Marcel Menner and Melanie N Zeilinger, "Learning-based model predictive control: Toward safe learning in control", Annual Review of Control, Robotics, and Autonomous Systems, Vol. 3, pp. 269-296, 2020.
      BibTeX
      • @Article{hewing2020learning,
      • author = {Hewing, Lukas and Wabersich, Kim P and Menner, Marcel and Zeilinger, Melanie N},
      • title = {Learning-based model predictive control: Toward safe learning in control},
      • journal = {Annual Review of Control, Robotics, and Autonomous Systems},
      • year = 2020,
      • volume = 3,
      • pages = {269--296}
      • }
    •  Marcel Menner, Lukas Neuner, Lars Lünenburger and Melanie N Zeilinger, "Using Human Ratings for Feedback Control: A Supervised Learning Approach With Application to Rehabilitation Robotics", IEEE Transactions on Robotics, Vol. 36, No. 3, pp. 789-801, 2020.
      BibTeX
      • @Article{menner2020using,
      • author = {Menner, Marcel and Neuner, Lukas and L{\"u}nenburger, Lars and Zeilinger, Melanie N},
      • title = {Using Human Ratings for Feedback Control: A Supervised Learning Approach With Application to Rehabilitation Robotics},
      • journal = {IEEE Transactions on Robotics},
      • year = 2020,
      • volume = 36,
      • number = 3,
      • pages = {789--801}
      • }
    •  Marcel Menner, Peter Worsnop and Melanie N Zeilinger, "Constrained inverse optimal control with application to a human manipulation task", IEEE Transactions on Control Systems Technology, 2019.
      BibTeX
      • @Article{menner2019constrained,
      • author = {Menner, Marcel and Worsnop, Peter and Zeilinger, Melanie N},
      • title = {Constrained inverse optimal control with application to a human manipulation task},
      • journal = {IEEE Transactions on Control Systems Technology},
      • year = 2019
      • }
    •  Marcel Menner, Anuradha M Annaswamy and Florian Holzapfel, "Robust Design of Adaptive Output Feedback Controllers for Direct Feedthrough Systems", Journal of Guidance, Control, and Dynamics, Vol. 41, No. 9, pp. 1919-1928, 2018.
      BibTeX
      • @Article{menner2018robust,
      • author = {Menner, Marcel and Annaswamy, Anuradha M and Holzapfel, Florian},
      • title = {Robust Design of Adaptive Output Feedback Controllers for Direct Feedthrough Systems},
      • journal = {Journal of Guidance, Control, and Dynamics},
      • year = 2018,
      • volume = 41,
      • number = 9,
      • pages = {1919--1928}
      • }