Publications

317 / 3,875 publications found.


  •  Amadio, F., Dalla Libera, A., Carli, R., Romeres, D., "Model-Based Reinforcement Learning Using Monte Carlo Gradient Estimation", Automatica.it, September 2021.
    BibTeX TR2021-108 PDF
    • @inproceedings{Amadio2021sep,
    • author = {Amadio, Fabio and Dalla Libera, Alberto and Carli, Ruggero and Romeres, Diego},
    • title = {{Model-Based Reinforcement Learning Using Monte Carlo Gradient Estimation}},
    • booktitle = {Automatica.it},
    • year = 2021,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2021-108}
    • }
  •  Chakrabarty, A., Maddalena, E., Qiao, H., Laughman, C.R., "Data-driven calibration of physics-informed models of joint building/equipment dynamics using Bayesian optimization", Building Simulation Conference 2021, September 2021.
    BibTeX TR2021-105 PDF Video
    • @inproceedings{Chakrabarty2021sep,
    • author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
    • title = {{Data-driven calibration of physics-informed models of joint building/equipment dynamics using Bayesian optimization}},
    • booktitle = {Building Simulation Conference 2021},
    • year = 2021,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2021-105}
    • }
  •  Chakrabarty, A., Benosman, M., "Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization", Automatica, DOI: 10.1016/​j.automatica.2021.109860, August 2021.
    BibTeX TR2021-101 PDF
    • @article{Chakrabarty2021aug,
    • author = {Chakrabarty, Ankush and Benosman, Mouhacine},
    • title = {{Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization}},
    • journal = {Automatica},
    • year = 2021,
    • month = aug,
    • doi = {10.1016/j.automatica.2021.109860},
    • url = {https://www.merl.com/publications/TR2021-101}
    • }
  •  Chakrabarty, A., Wichern, G., Laughman, C.R., "ANP-BBO: Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins", International Conference on Machine Learning (ICML), July 2021.
    BibTeX TR2021-086 PDF
    • @inproceedings{Chakrabarty2021jul,
    • author = {Chakrabarty, Ankush and Wichern, Gordon and Laughman, Christopher R.},
    • title = {{ANP-BBO: Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins}},
    • booktitle = {International Conference on Machine Learning (ICML)},
    • year = 2021,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2021-086}
    • }
  •  Quirynen, R., Berntorp, K., "Uncertainty Propagation by Linear Regression Kalman Filters for Stochastic NMPC", IFAC Conference on Nonlinear Model Predictive Control, DOI: 10.1016/​j.ifacol.2021.08.527, July 2021, pp. 76-82.
    BibTeX TR2021-084 PDF
    • @inproceedings{Quirynen2021jul,
    • author = {Quirynen, Rien and Berntorp, Karl},
    • title = {{Uncertainty Propagation by Linear Regression Kalman Filters for Stochastic NMPC}},
    • booktitle = {IFAC Conference on Nonlinear Model Predictive Control},
    • year = 2021,
    • pages = {76--82},
    • month = jul,
    • doi = {10.1016/j.ifacol.2021.08.527},
    • url = {https://www.merl.com/publications/TR2021-084}
    • }
  •  Dalla Libera, A., Amadio, F., Nikovski, D.N., Carli, R., Romeres, D., "Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models", European Control Conference (ECC), DOI: 10.23919/​ECC54610.2021.9654429, June 2021.
    BibTeX TR2021-068 PDF Video
    • @inproceedings{DallaLibera2021jun,
    • author = {Dalla Libera, Alberto and Amadio, Fabio and Nikovski, Daniel N. and Carli, Ruggero and Romeres, Diego},
    • title = {{Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models}},
    • booktitle = {European Control Conference (ECC)},
    • year = 2021,
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.23919/ECC54610.2021.9654429},
    • isbn = {978-9-4638-4236-5},
    • url = {https://www.merl.com/publications/TR2021-068}
    • }
  •  Jin, S., Romeres, D., Raghunathan, A., Jha, D.K., Tomizuka, M., "Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units", IEEE International Conference on Robotics and Automation (ICRA), DOI: 10.1109/​ICRA48506.2021.9561556, June 2021.
    BibTeX TR2021-072 PDF Video
    • @inproceedings{Jin2021jun,
    • author = {Jin, Shiyu and Romeres, Diego and Raghunathan, Arvind and Jha, Devesh K. and Tomizuka, Masayoshi},
    • title = {{Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units}},
    • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
    • year = 2021,
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.1109/ICRA48506.2021.9561556},
    • issn = {2577-087X},
    • isbn = {978-1-7281-9077-8},
    • url = {https://www.merl.com/publications/TR2021-072}
    • }
  •  Fang, H., Haile, M., Wang, Y., "Robust Extended Kalman Filtering for Systems with Measurement Outliers", IEEE Transactions on Control Systems Technology, DOI: 10.1109/​TCST.2021.3077535, Vol. 30, No. 2, pp. 795-802, May 2021.
    BibTeX TR2021-078 PDF
    • @article{Fang2021may,
    • author = {Fang, Huazhen and Haile, Mulugeta and Wang, Yebin},
    • title = {{Robust Extended Kalman Filtering for Systems with Measurement Outliers}},
    • journal = {IEEE Transactions on Control Systems Technology},
    • year = 2021,
    • volume = 30,
    • number = 2,
    • pages = {795--802},
    • month = may,
    • doi = {10.1109/TCST.2021.3077535},
    • url = {https://www.merl.com/publications/TR2021-078}
    • }
  •  Berntorp, K., Chakrabarty, A., Di Cairano, S., "Vehicle Center-of-Gravity Height and Dynamics Estimation with Uncertainty Quantification by Marginalized Particle Filter", American Control Conference (ACC), DOI: 10.23919/​ACC50511.2021.9483251, May 2021, pp. 160-165.
    BibTeX TR2021-058 PDF
    • @inproceedings{Berntorp2021may,
    • author = {Berntorp, Karl and Chakrabarty, Ankush and {Di Cairano}, Stefano},
    • title = {{Vehicle Center-of-Gravity Height and Dynamics Estimation with Uncertainty Quantification by Marginalized Particle Filter}},
    • booktitle = {American Control Conference (ACC)},
    • year = 2021,
    • pages = {160--165},
    • month = may,
    • doi = {10.23919/ACC50511.2021.9483251},
    • url = {https://www.merl.com/publications/TR2021-058}
    • }
  •  Lin, C., Ma, Y., Sels, D., "Optimal Control for Quantum Metrology via Pontryagin's principle", Physical Review, DOI: 10.1103/​PhysRevA.103.052607, Vol. 103, No. 5, pp. 052607, May 2021.
    BibTeX TR2021-067 PDF
    • @article{Lin2021may,
    • author = {Lin, Chungwei and Ma, Yanting and Sels, Dries},
    • title = {{Optimal Control for Quantum Metrology via Pontryagin's principle}},
    • journal = {Physical Review},
    • year = 2021,
    • volume = 103,
    • number = 5,
    • pages = 052607,
    • month = may,
    • doi = {10.1103/PhysRevA.103.052607},
    • url = {https://www.merl.com/publications/TR2021-067}
    • }
  •  Berntorp, K., "Online Bayesian Inference and Learning of Gaussian-Process State-SpaceModels", Automatica, DOI: 10.1016/​j.automatica.2021.109613, Vol. 129, March 2021.
    BibTeX TR2021-026 PDF
    • @article{Berntorp2021mar,
    • author = {Berntorp, Karl},
    • title = {{Online Bayesian Inference and Learning of Gaussian-Process State-SpaceModels}},
    • journal = {Automatica},
    • year = 2021,
    • volume = 129,
    • month = mar,
    • doi = {10.1016/j.automatica.2021.109613},
    • issn = {0005-1098},
    • url = {https://www.merl.com/publications/TR2021-026}
    • }
  •  Poveda, J., Benosman, M., Teel, A.R., Sanfelice, R.G., "Robust Coordinated Hybrid Source Seeking with Obstacle Avoidance in Multi-Vehicle Autonomous Systems", IEEE Transactions on Automatic Control, DOI: 10.1109/​TAC.2021.3056365, March 2021.
    BibTeX TR2021-022 PDF
    • @article{Poveda2021mar,
    • author = {Poveda, Jorge and Benosman, Mouhacine and Teel, Andrew R. and Sanfelice, Ricardo G.},
    • title = {{Robust Coordinated Hybrid Source Seeking with Obstacle Avoidance in Multi-Vehicle Autonomous Systems}},
    • journal = {IEEE Transactions on Automatic Control},
    • year = 2021,
    • month = mar,
    • doi = {10.1109/TAC.2021.3056365},
    • url = {https://www.merl.com/publications/TR2021-022}
    • }
  •  Ota, K., Jha, D.K., Romeres, D., van Baar, J., Smith, K., Semistsu, T., Oiki, T., Sullivan, A., Nikovski, D.N., Tenenbaum, J.B., "Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation", IEEE Robotics and Automation Letters, DOI: 10.1109/​LRA.2021.3068887, Vol. 6, No. 2, March 2021.
    BibTeX TR2021-032 PDF Video Software
    • @article{Ota2021mar,
    • author = {Ota, Kei and Jha, Devesh K. and Romeres, Diego and {van Baar}, Jeroen and Smith, Kevin and Semistsu, Takayuki and Oiki, Tomoaki and Sullivan, Alan and Nikovski, Daniel N. and Tenenbaum, Joshua B.},
    • title = {{Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation}},
    • journal = {IEEE Robotics and Automation Letters},
    • year = 2021,
    • volume = 6,
    • number = 2,
    • month = mar,
    • doi = {10.1109/LRA.2021.3068887},
    • url = {https://www.merl.com/publications/TR2021-032}
    • }
  •  Anantharaman, R., Ma, Y., Gowda, S., Laughman, C.R., Shah, V., Edelman, A., Rackauckas, C., "Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks", AAAI Spring Symposium on Combining Artificial Intelligence with Physical Sciences, March 2021.
    BibTeX TR2021-021 PDF
    • @inproceedings{Anantharaman2021mar,
    • author = {Anantharaman, Ranjan and Ma, Yingbo and Gowda, Shashi and Laughman, Christopher R. and Shah, Viral and Edelman, Alan and Rackauckas, Chris},
    • title = {{Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks}},
    • booktitle = {AAAI Spring Symposium on Combining Artificial Intelligence with Physical Sciences},
    • year = 2021,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2021-021}
    • }
  •  Chen, D., Danielson, C., Masahiro, I., "Improving Passenger Comfort by Exploiting Hub Motors in Electric Vehicles: Suspension Modeling", ASME Dynamic Systems and Control Conference (DSCC), DOI: 10.1115/​DSCC2020-3167, January 2021.
    BibTeX TR2021-019 PDF
    • @inproceedings{Chen2021jan,
    • author = {Chen, Di and Danielson, Claus and Masahiro, Iezawa},
    • title = {{Improving Passenger Comfort by Exploiting Hub Motors in Electric Vehicles: Suspension Modeling}},
    • booktitle = {ASME Dynamic Systems and Control Conference (DSCC)},
    • year = 2021,
    • month = jan,
    • doi = {10.1115/DSCC2020-3167},
    • url = {https://www.merl.com/publications/TR2021-019}
    • }
  •  Hayashi, N., Weiss, A., Di Cairano, S., "Model Predictive Control Approach for Autonomous Sun-Synchronous Sub-Recurrent Orbit Control", AIAA SciTech, DOI: 10.2514/​6.2021-1953, January 2021.
    BibTeX TR2021-005 PDF
    • @inproceedings{Hayashi2021jan,
    • author = {Hayashi, Naohiro and Weiss, Avishai and {Di Cairano}, Stefano},
    • title = {{Model Predictive Control Approach for Autonomous Sun-Synchronous Sub-Recurrent Orbit Control}},
    • booktitle = {AIAA SciTech},
    • year = 2021,
    • month = jan,
    • publisher = {AIAA},
    • doi = {10.2514/6.2021-1953},
    • url = {https://www.merl.com/publications/TR2021-005}
    • }
  •  Lohit, S., Anirudh, R., Turaga, P., "Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2021.
    BibTeX TR2021-004 PDF
    • @inproceedings{Lohit2021jan,
    • author = {Lohit, Suhas and Anirudh, Rushil and Turaga, Pavan},
    • title = {{Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization}},
    • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    • year = 2021,
    • month = jan,
    • publisher = {CVF OpenAccess},
    • url = {https://www.merl.com/publications/TR2021-004}
    • }
  •  Poveda, J., Benosman, M., Vamvoudakis, K., "Data-Enabled Extremum Seeking: A Cooperative Concurrent Learning-Based Approach", International Journal of Adaptive Control and Signal Processing, December 2020.
    BibTeX TR2020-180 PDF
    • @article{Poveda2020dec,
    • author = {Poveda, Jorge and Benosman, Mouhacine and Vamvoudakis, Kyriakos},
    • title = {{Data-Enabled Extremum Seeking: A Cooperative Concurrent Learning-Based Approach}},
    • journal = {International Journal of Adaptive Control and Signal Processing},
    • year = 2020,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2020-180}
    • }
  •  Romeres, D., Amadio, F., Dalla Libera, A., Nikovski, D.N., Carli, R., "Model-based Policy Search for Partially Measurable Systems", Advances in Neural Information Processing Systems (NeurIPS), December 2020.
    BibTeX TR2020-174 PDF
    • @inproceedings{Romeres2020dec2,
    • author = {Romeres, Diego and Amadio, Fabio and Dalla Libera, Alberto and Nikovski, Daniel N. and Carli, Ruggero},
    • title = {{Model-based Policy Search for Partially Measurable Systems}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2020,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2020-174}
    • }
  •  Bortoff, S.A., Okasha, A., "Modelica-Based Control of A Delta Robot", ASME Dynamic Systems and Control Conference, DOI: 10.1115/​DSCC2020-3158, December 2020.
    BibTeX TR2020-154 PDF
    • @inproceedings{Bortoff2020dec,
    • author = {Bortoff, Scott A. and Okasha, Ahmed},
    • title = {{Modelica-Based Control of A Delta Robot}},
    • booktitle = {ASME Dynamic Systems and Control Conference},
    • year = 2020,
    • month = dec,
    • doi = {10.1115/DSCC2020-3158},
    • url = {https://www.merl.com/publications/TR2020-154}
    • }
  •  Anantharaman, R., Ma, Y., Gowda, S., Laughman, C.R., Shah, V., Edelman, A., Rackauckas, C., "Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks", Advances in Neural Information Processing Systems (NeurIPS), December 2020.
    BibTeX TR2020-169 PDF
    • @inproceedings{Anantharaman2020dec,
    • author = {Anantharaman, Ranjan and Ma, Yingbo and Gowda, Shashi and Laughman, Christopher R. and Shah, Viral and Edelman, Alan and Rackauckas, Chris},
    • title = {{Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2020,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2020-169}
    • }
  •  Ahn, H., Berntorp, K., Inani, P., Ram, A.J., Di Cairano, S., "Reachability-based Decision Making for Autonomous Driving: Theory and Experiment", IEEE Transactions on Control Systems Technology, DOI: 10.1109/​TCST.2020.3022721, December 2020.
    BibTeX TR2020-165 PDF
    • @article{Ahn2020dec,
    • author = {Ahn, Heejin and Berntorp, Karl and Inani, Pranav and Ram, Arjun Jagdish and {Di Cairano}, Stefano},
    • title = {{Reachability-based Decision Making for Autonomous Driving: Theory and Experiment}},
    • journal = {IEEE Transactions on Control Systems Technology},
    • year = 2020,
    • month = dec,
    • doi = {10.1109/TCST.2020.3022721},
    • url = {https://www.merl.com/publications/TR2020-165}
    • }
  •  Chakrabarty, A., Raghunathan, A., Di Cairano, S., Danielson, C., "Active Learning for Estimating Reachable Sets for Systems with Unknown Dynamics", IEEE Transactions on Cybernetics, DOI: 10.1109/​TCYB.2020.3000966, December 2020.
    BibTeX TR2020-164 PDF
    • @article{Chakrabarty2020dec,
    • author = {Chakrabarty, Ankush and Raghunathan, Arvind and {Di Cairano}, Stefano and Danielson, Claus},
    • title = {{Active Learning for Estimating Reachable Sets for Systems with Unknown Dynamics}},
    • journal = {IEEE Transactions on Cybernetics},
    • year = 2020,
    • month = dec,
    • doi = {10.1109/TCYB.2020.3000966},
    • url = {https://www.merl.com/publications/TR2020-164}
    • }
  •  Lin, C., Sels, D., Ma, Y., Wang, Y., "Stochastic optimal control formalism for an open quantum system", Physical Review, DOI: 10.1103/​PhysRevA.102.052605, Vol. 102, pp. 052605, December 2020.
    BibTeX TR2020-163 PDF
    • @article{Lin2020dec,
    • author = {Lin, Chungwei and Sels, Dries and Ma, Yanting and Wang, Yebin},
    • title = {{Stochastic optimal control formalism for an open quantum system}},
    • journal = {Physical Review},
    • year = 2020,
    • volume = 102,
    • pages = 052605,
    • month = dec,
    • doi = {10.1103/PhysRevA.102.052605},
    • url = {https://www.merl.com/publications/TR2020-163}
    • }
  •  Ota, K., Jha, D.K., Onishi, T., Kanezaki, A., Yoshiyasu, Y., Mariyama, T., Nikovski, D.N., "Deep Reactive Planning in Dynamic Environments", Conference on Robot Learning (CoRL), Kober, Jens and Ramos, Fabio and Tomlin, Calire, Eds., November 2020, pp. 1943-1957.
    BibTeX TR2020-144 PDF Video
    • @inproceedings{Ota2020nov2,
    • author = {Ota, Kei and Jha, Devesh K. and Onishi, Tadashi and Kanezaki, Asako and Yoshiyasu, Yusuke and Mariyama, Toshisada and Nikovski, Daniel N.},
    • title = {{Deep Reactive Planning in Dynamic Environments}},
    • booktitle = {Conference on Robot Learning (CoRL)},
    • year = 2020,
    • editor = {Kober, Jens and Ramos, Fabio and Tomlin, Calire},
    • pages = {1943--1957},
    • month = nov,
    • publisher = {Proceedings of Machine Learning Research},
    • url = {https://www.merl.com/publications/TR2020-144}
    • }