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.

Roberto Calandra

Interests

Related Links

Latest Publications

Learning Invariant Representations for Reinforcement Learning without Reconstruction

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning

Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads

3D Shape Reconstruction from Vision and Touch

Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization

Active MR k-space Sampling with Reinforcement Learning

Adversarial Continual Learning

Plan2vec: Unsupervised Representation Learning by Latent Plans

Objective Mismatch in Model-based Reinforcement Learning

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

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning

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

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