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
Latest Publications
NeurIPS - December 7, 2020
3D Shape Reconstruction from Vision and Touch
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
ECCV - August 25, 2020
Adversarial Continual Learning
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
Learning for Dynamics & Control (L4DC) - June 10, 2020
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
IEEE RA-L - June 1, 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
ICRA - June 1, 2020
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning
Tianyu Li, Nathan Lambert, Roberto Calandra, Franziska Meier, Akshara Rai
CoRL - October 30, 2019
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra
IROS - July 29, 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