Email:
Curriculum vitae: [CV]
Twitter:@RCalandra Follow @RCalandra
Linkedin: linkedin.com/in/rcalandra
GitHub: github.com/robertocalandra
Google Scholar: Link
Youtube: Link
Slides: Link

Brief Bio

Roberto Calandra is Full (W3) Professor at TU Dresden where he leads the Learning, Adaptive Systems and Robotics (LASR) lab. Previously, he was a Research Scientist at Meta AI (formerly know as Facebook AI Research), where he founded the Robotic Lab in Menlo Park, California. He was also a Postdoctoral Scholar at the University of California, Berkeley (US) in the Berkeley Artificial Intelligence Research Laboratory (BAIR) working with Sergey Levine. His education includes a Ph.D. from TU Darmstadt (Germany), 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). His scientific interests are broadly at the conjunction of Robotics and Machine Learning, with the goal of making robots more intelligent and useful in the real world. Among his contributions is the design and commercialization of DIGIT -- the first high-resolution compact tactile sensor commercially available, which is currently the most widely used tactile sensor in robotics. Roberto served as Program Chair for AISTATS 2020, as Guest Editor for the JMLR Special Issue on Bayesian Optimization, and has previously co-organized over 16 international workshops (including at NeurIPS, ICML, ICLR, ICRA, IROS, RSS).

I believe in the importance of a balanced life, and thus support Slow Science, Slow food and Sicilian music about slow life.

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