NEWS    Invited talk given by Diego Romeres at Bentley University

Date released: November 7, 2023

  •  NEWS    Invited talk given by Diego Romeres at Bentley University
  • Date:

    November 1, 2023

  • Description:

    Principal Research Scientist and Team Leader Diego Romeres gave an invited talk with title 'Applications of Machine Learning to Robotics' in the Machine Learning graduate course at Bentley University. The presentation focused mainly on Reinforcement Learning research applied to robotics. The audience consisted mostly of Master’s in Business Analytics (MSBA) students and students in the MBA w/ Business Analytics Concentration program.

  • MERL Contact:
  • Research Areas:

    Artificial Intelligence, Machine Learning, Robotics

    •  Giacomuzzo, G., Dalla Libera, A., Romeres, D., Carli, R., "Physics Informed Gaussian Process Regression Methods for Robot Inverse Dynamics Identification", Conferenza Italiana di Robotica e Macchine Intelligenti, October 2023.
      BibTeX TR2023-132 PDF
      • @inproceedings{Giacomuzzo2023oct2,
      • author = {Giacomuzzo, Giulio and Dalla Libera, Alberto and Romeres, Diego and Carli, Ruggero},
      • title = {Physics Informed Gaussian Process Regression Methods for Robot Inverse Dynamics Identification},
      • booktitle = {Conferenza Italiana di Robotica e Macchine Intelligenti},
      • year = 2023,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2023-132}
      • }
    •  Giacomuzzo, G., Dalla Libera, A., Carli, R., Romeres, D., "A Lagrangian Inspired Polynomial Kernel for Robot Dynamics Identification", ICRA 2023 Workshop on Effective Representations, Abstractions, and Priors for Robot Learning (RAP4Robots), May 2023.
      BibTeX TR2023-063 PDF
      • @inproceedings{Giacomuzzo2023may,
      • author = {Giacomuzzo, Giulio and Dalla Libera, Alberto and Carli, Ruggero and Romeres, Diego},
      • title = {A Lagrangian Inspired Polynomial Kernel for Robot Dynamics Identification},
      • booktitle = {ICRA 2023 Workshop on Effective Representations, Abstractions, and Priors for Robot Learning (RAP4Robots)},
      • year = 2023,
      • month = may,
      • url = {https://www.merl.com/publications/TR2023-063}
      • }
    •  Amadio, F., Dalla Libera, A., Antonello, R., Nikovski, D.N., Carli, R., Romeres, D., "Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application", IEEE Transaction on Robotics, DOI: 10.1109/​TRO.2022.3184837, Vol. 38, No. 6, pp. 3879-3898, December 2022.
      BibTeX TR2022-154 PDF Video Software
      • @article{Romeres2022dec,
      • author = {Amadio, Fabio and Dalla Libera, Alberto and Antonello, Riccardo and Nikovski, Daniel N. and Carli, Ruggero and Romeres, Diego},
      • title = {Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application},
      • journal = {IEEE Transaction on Robotics},
      • year = 2022,
      • volume = 38,
      • number = 6,
      • pages = {3879--3898},
      • month = dec,
      • doi = {10.1109/TRO.2022.3184837},
      • issn = {1941-0468},
      • url = {https://www.merl.com/publications/TR2022-154}
      • }