Roberto Calandra

Chevron down

Robots and the sense of Touch

Humans make extensive use of touch. However, integrating the sense of touch in robot control has traditionally proved to be a difficult task. In this talk, I will discuss how machine learning can help to provide robots with the sense of touch, and the benefits of doing so.

Roberto Calandra is a Research Scientist at Facebook AI Research (FAIR). Previously, he was a postdoctoral scholar at UC Berkeley in the Berkeley Artificial Intelligence Research Laboratory (BAIR) working with Sergey Levine. Roberto 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). His scientific interests focus at the conjunction of Machine Learning and Robotics, in what is know as Robot Learning.

Buttontwitter Buttonlinkedin
This website uses cookies to ensure you get the best experience. Learn more
Summer Promo: Save 25% Off ALL tickets until 23 August using the code: SUMMER25