Marcel Menner

- Phone: 617-621-7525
- Email:
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Position:
Research / Technical Staff
Research Scientist -
Education:
Ph.D., ETH Zurich, 2020 -
Research Areas:
External Links:
Marcel's Quick Links
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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.
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Internships with Marcel
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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.
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MERL Publications
- "Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles", arXiv, May 2022.BibTeX arXiv
- @article{Pervej2022apr,
- author = {Pervej, Md Ferdous and Guo, Jianlin and Kim, Kyeong Jin and Parsons, Kieran and Orlik, Philip V. and Di Cairano, Stefano and Menner, Marcel and Berntorp, Karl and Nagai, Yukimasa and Dai, Huaiyu},
- title = {Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles},
- journal = {arXiv},
- year = 2022,
- month = may,
- url = {https://arxiv.org/abs/2205.09529}
- }
, - "Automated Controller Calibration by Kalman Filtering", arXiv, November 2021. ,
- "Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles", IEEE Vehicle Power and Propulsion Conference, DOI: 10.1109/VPPC53923.2021.9699361, October 2021, pp. 1-6.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,
- pages = {1--6},
- month = oct,
- doi = {10.1109/VPPC53923.2021.9699361},
- url = {https://www.merl.com/publications/TR2021-132}
- }
, - "A Kalman Filter for Online Calibration of Optimal Controllers", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/CCTA48906.2021.9658684, August 2021, pp. 441-446.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,
- pages = {441--446},
- month = aug,
- doi = {10.1109/CCTA48906.2021.9658684},
- url = {https://www.merl.com/publications/TR2021-091}
- }
, - "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}
- }
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- "Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles", arXiv, May 2022.
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Other Publications
- "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}
- }
, - "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}
- }
, - "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
- }
, - "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}
- }
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- "Learning-based model predictive control: Toward safe learning in control", Annual Review of Control, Robotics, and Autonomous Systems, Vol. 3, pp. 269-296, 2020.
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MERL Issued Patents
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Title: "Adaptive Control of Autonomous or Semi-Autonomous Vehicle"
Inventors: Berntorp, Karl; Di Cairano, Stefano; Menner, Marcel
Patent No.: 11,327,492
Issue Date: May 10, 2022
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Title: "Adaptive Control of Autonomous or Semi-Autonomous Vehicle"