Marcel Menner

Marcel Menner
  • Email: menner[at]merl[dot]com
  • 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

    • CA1740: Locomotion of Legged Robots

      MERL is looking for highly motivated interns at different levels of expertise to conduct research on robot locomotion of legged robots. The research spans multiple areas from modeling, motion planning, sensing and learning from data, to control. The ideal candidate will have experience in either one or multiple of the following topics: model predictive control, machine learning, numerical optimization, and optimal control. Good programming skills in MATLAB, ROS, Python, or C/C++ are required. Graduate students in robotics, engineering, or mathematics with a focus on legged robots, 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 requires work that can only be done at MERL.

    • CA1741: Learning for Connected Vehicles

      MERL is seeking a highly motivated intern to collaborate with the Control for Autonomy team in the development of learning technologies for Connected Vehicles. The intern will conduct research in the development of methods for learning/optimization of Advanced Driver Assistance Systems (ADAS) using data-sharing between connected vehicles and/or infrastructure. The ideal candidate has knowledge of at least one of machine learning, estimation, connected vehicles, and vehicle control systems. Knowledge of one or more traffic and/or multi-vehicle simulators (SUMO, Vissim, etc.) is a plus. Good programming skills in Matlab are required and knowledge in Python or C/C++ is a merit. PhD students in engineering, mathematics, or similar are encouraged to apply. 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., Di Cairano, S., "Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles", IEEE Vehicle Power and Propulsion Conference, October 2021.
      BibTeX TR2021-132 PDF
      • @inproceedings{Menner2021oct,
      • author = {Menner, Marcel and Di Cairano, Stefano},
      • title = {Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles},
      • booktitle = {IEEE Vehicle Power and Propulsion Conference},
      • year = 2021,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2021-132}
      • }
    •  Menner, M., Berntorp, K., Di Cairano, S., "A Kalman Filter for Online Calibration of Optimal Controllers", IEEE Conference on Control Technology and Applications (CCTA), August 2021.
      BibTeX TR2021-091 PDF
      • @inproceedings{Menner2021aug,
      • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
      • title = {A Kalman Filter for Online Calibration of Optimal Controllers},
      • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
      • year = 2021,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2021-091}
      • }
    •  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}
      • }