People

Roberto Calandra

Research Scientist

I am a research scientist working on robotics and machine learning.

Previously, I was a postdoctoral scholar at UC Berkeley in the Berkeley Artificial Intelligence Research Laboratory working with Sergey Levine.

I received a PhD from TU Darmstadt (Germany) under the supervision of Jan Peters and Marc Deisenroth, an MSc in machine learning and data mining from the Aalto university (Finland), and a BSc in computer science from the Università degli studi di Palermo (Italy).

Interests

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

Related Links

Personal Website

Latest Publications

Objective Mismatch in Model-based Reinforcement Learning

Nathan Lambert, Brandon Amos, Omry Yadan, Roberto Calandra

Learning for Dynamics & Control (L4DC) - June 10, 2020

Plan2vec: Unsupervised Representation Learning by Latent Plans

Ge Yang, Amy Zhang, Ari Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra

Learning for Dynamics & Control (L4DC) - June 10, 2020

DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation

Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra

IEEE RA-L - June 1, 2020

Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning

Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra

CoRL - October 30, 2019

Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning

Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Sergey Levine, Roberto Calandra, Kristofer S. J. Pister

IROS - July 29, 2019