Roberto Calandra
Roberto is a Research Scientist working at the conjunction between robotics and machine learning. Prior to that, he was a postdoctoral scholar at UC Berkeley in the Berkeley Artificial Intelligence Research Laboratory. Roberto received a Ph.D. from TU Darmstadt (Germany), 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).
Roberto's Publications
October 30, 2019
RESEARCH
ML APPLICATIONS
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
Humans and animals are capable of quickly learning new behaviours to solve new tasks. Yet, we often forget that they also rely on a highly specialized morphology that co-adapted with motor control throughout thousands of years. Although…
Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra,
October 30, 2019
July 29, 2019
RESEARCH
ML APPLICATIONS
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning
Designing effective low-level robot controllers often entail platform-specific implementations that require manual heuristic parameter tuning, significant system knowledge, or long design times. With the rising number of robotic and mechatronic…
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Sergey Levine, Roberto Calandra, Kristofer S. J. Pister,
July 29, 2019
