NEWS MERL researchers present 7 papers at CDC 2024

Date released: December 26, 2024

NEWS MERL researchers present 7 papers at CDC 2024
Date:

December 16, 2024 - December 19, 2024
Where:

Milan, Italy
Description:

MERL researchers presented 7 papers at the recently concluded Conference on Decision and Control (CDC) 2024 in Milan, Italy. The papers covered a wide range of topics including safety shielding for stochastic model predictive control, reinforcement learning using expert observations, physics-constrained meta learning for positioning, variational-Bayes Kalman filtering, Bayesian measurement masks for GNSS positioning, divert-feasible lunar landing, and centering and stochastic control using constrained zonotopes.

As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.

In addition, Ankush Chakrabarty (Principal Research Scientist, Multiphysical Systems Team) was an invited speaker in the pre-conference Workshop on "Learning Dynamics From Data" where he gave a talk on few-shot meta-learning for black-box identification using data from similar systems.
External Link:

https://cdc2024.ieeecss.org/
MERL Contacts:
Research Areas:

Artificial Intelligence, Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, Robotics
- Related Publications
  Chakrabarty, A., Deshpande, V.M., Wichern, G., Berntorp, K., "Physics-Constrained Meta-Learning for Online Adaptation and Estimation in Positioning Applications", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC56724.2024.10886249, December 2024.
  BibTeX TR2024-180 PDF
  @inproceedings{Chakrabarty2024dec,
  author = {Chakrabarty, Ankush and Deshpande, Vedang M. and Wichern, Gordon and Berntorp, Karl},
  title = {{Physics-Constrained Meta-Learning for Online Adaptation and Estimation in Positioning Applications}},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = 2024,
  month = dec,
  doi = {10.1109/CDC56724.2024.10886249},
  url = {https://www.merl.com/publications/TR2024-180}
  }
  Yin, J., Tsiotras, P., Berntorp, K., "Chance-Constrained Information-Theoretic Stochastic Model Predictive Control with Safety Shielding", IEEE Conference on Decision and Control (CDC), December 2024.
  BibTeX TR2024-179 PDF
  @inproceedings{Yin2024dec,
  author = {Yin, Ji and Tsiotras, Panagiotis and Berntorp, Karl},
  title = {{Chance-Constrained Information-Theoretic Stochastic Model Predictive Control with Safety Shielding}},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = 2024,
  month = dec,
  url = {https://www.merl.com/publications/TR2024-179}
  }
  Ozcan, E.C., Giammarino, V., Queeney, J., Paschalidis, I.C., "A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC56724.2024.10885921, December 2024, pp. 1147-1152.
  BibTeX TR2024-178 PDF
  @inproceedings{Ozcan2024dec,
  author = {Ozcan, Erhan Can and Giammarino, Vittorio and Queeney, James and Paschalidis, Ioannis Ch.},
  title = {{A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations}},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = 2024,
  pages = {1147--1152},
  month = dec,
  doi = {10.1109/CDC56724.2024.10885921},
  url = {https://www.merl.com/publications/TR2024-178}
  }
  Greiff, M., Berntorp, K., "Asynchronous Variational-Bayes Kalman Filtering", IEEE Conference on Decision and Control (CDC), December 2024.
  BibTeX TR2024-177 PDF
  @inproceedings{Greiff2024dec2,
  author = {Greiff, Marcus and Berntorp, Karl},
  title = {{Asynchronous Variational-Bayes Kalman Filtering}},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = 2024,
  month = dec,
  url = {https://www.merl.com/publications/TR2024-177}
  }
  Lishkova, Y., Vinod, A.P., Di Cairano, S., Weiss, A., "Divert-feasible lunar landing under navigational uncertainty", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC56724.2024.10886637, December 2024, pp. 7497-7503.
  BibTeX TR2024-174 PDF
  @inproceedings{Lishkova2024dec,
  author = {Lishkova, Yana and Vinod, Abraham P. and {Di Cairano}, Stefano and Weiss, Avishai},
  title = {{Divert-feasible lunar landing under navigational uncertainty}},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = 2024,
  pages = {7497--7503},
  month = dec,
  doi = {10.1109/CDC56724.2024.10886637},
  url = {https://www.merl.com/publications/TR2024-174}
  }
  Vinod, A.P., Weiss, A., Di Cairano, S., "Inscribing and separating an ellipsoid and a constrained zonotope: Applications in stochastic control and centering", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC56724.2024.10886451, December 2024, pp. 8125-8131.
  BibTeX TR2024-173 PDF
  @inproceedings{Vinod2024dec,
  author = {Vinod, Abraham P. and Weiss, Avishai and {Di Cairano}, Stefano},
  title = {{Inscribing and separating an ellipsoid and a constrained zonotope: Applications in stochastic control and centering}},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = 2024,
  pages = {8125--8131},
  month = dec,
  doi = {10.1109/CDC56724.2024.10886451},
  url = {https://www.merl.com/publications/TR2024-173}
  }
  Greiff, M., Di Cairano, S., Berntorp, K., "Bayesian Measurement Masks for GNSS Positioning", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC56724.2024.10885938, December 2024.
  BibTeX TR2024-172 PDF
  @inproceedings{Greiff2024dec,
  author = {Greiff, Marcus and {Di Cairano}, Stefano and Berntorp, Karl},
  title = {{Bayesian Measurement Masks for GNSS Positioning}},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = 2024,
  month = dec,
  doi = {10.1109/CDC56724.2024.10885938},
  url = {https://www.merl.com/publications/TR2024-172}
  }