Roberto Calandra


Email: email address
Curriculum vitae: [CV]
Twitter: @RCalandra
Google Scholar: Link
Youtube: YouTube

Roberto Calandra is a Postdoctoral Scholar at UC Berkeley in the Berkeley Artificial Intelligence Research Laboratory (BAIR) working with Sergey Levine.
Previously, he received a Ph.D. from TU Darmstadt (Germany) under the supervision of Jan Peters and Marc Deisenroth, a M.Sc. in Machine Learning and Data Mining from the Aalto university (Finland), and a B.Sc. in Computer Science from the Università degli studi di Palermo (Italy).

General research interests

My scientific interests focus at the conjunction of Machine Learning and Robotics, in what is know as Robot Learning.

Current Research

Some of the research topics that I am currently developing include: Deep Reinforcement Learning, Bayesian Optimization, Dynamics Modeling, and Tactile Sensing.

Upcoming Talks

  • 03 Jan 2019: DALI
  • 11 Jan 2018: Università di Palermo
  • 22 Jan 2018: EPFL
  • 23 Jan 2018: ETH
  • 24 Jan 2018: Max Planck Institute (Tuebingen)
  • 25 Jan 2018: University of Freiburg
  • 26 Jan 2018: TU Darmstadt
  • 21 Feb 2018: Stanford

Recent News

Representative Publications

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? [arxiv] [Project website]

More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch [arxiv] [Project website]