Diego Romeres

Diego Romeres
  • Biography

    Diego's research interests are in machine learning, system identification and robotic applications. At MERL he is currently working on applying nonparametric machine learning techniques for the control of robotic platforms. His Ph.D. thesis is about the combination of nonparametric data-driven models and physics-based models in gaussian processes for robot dynamics learning.

  • Internships with Diego

    • DA1186: Learning dynamics of high-dimensional systems

      MERL is seeking a motivated and qualified individual to conduct research in the state of the art of machine learning techniques applied to robotic applications. The ideal candidate should have solid background in multiple machine learning techniques such as Gaussian Processes, Deep Neural Networks and Reinforcement Learning. Previous experience in working with robotics platforms is also required. The candidate is expected to have familiarity with Python and ROS.

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