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Roberto Calandra

Towards Learning to Play Piano with Dexterous Hands and Touch


Jun 08, 2021
Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra

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PyTouch: A Machine Learning Library for Touch Processing


May 26, 2021
Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra

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* 7 pages. Accepted at ICRA 2021 
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MBRL-Lib: A Modular Library for Model-based Reinforcement Learning


Apr 20, 2021
Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra

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


Feb 26, 2021
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra

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* 19 pages, accepted by AISTATS 2021 
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Model-Invariant State Abstractions for Model-Based Reinforcement Learning


Feb 19, 2021
Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau

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Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning


Dec 16, 2020
Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra

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* 8 pages, +2 pages appendix 
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TACTO: A Fast, Flexible and Open-source Simulator for High-Resolution Vision-based Tactile Sensors


Dec 15, 2020
Shaoxiong Wang, Mike Lambeta, Po-Wei Chou, Roberto Calandra

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Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion


Sep 18, 2020
Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai

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Active MR k-space Sampling with Reinforcement Learning


Jul 20, 2020
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal

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* To appear in 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 
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3D Shape Reconstruction from Vision and Touch


Jul 07, 2020
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal

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* Submitted for review 
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Learning Invariant Representations for Reinforcement Learning without Reconstruction


Jun 18, 2020
Amy Zhang, Rowan McAllister, Roberto Calandra, Yarin Gal, Sergey Levine

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Learning to Play Table Tennis From Scratch using Muscular Robots


Jun 10, 2020
Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters

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* 11 pages, 8 figures. Submitted to T-RO. For more information visit https://muscularTT.embodied.ml 
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DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation


May 29, 2020
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

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* 8 pages, published in the IEEE Robotics and Automation Letters (RA-L) 
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Plan2Vec: Unsupervised Representation Learning by Latent Plans


May 07, 2020
Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra

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* Proceedings of Machine Learning Research, the 2nd Annual Conference on Learning for Dynamics and Control (2020) Volume 120, 1-12 
 * code available at https://geyang.github.io/plan2vec 
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Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads


Apr 23, 2020
Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine

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Adversarial Continual Learning


Mar 21, 2020
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

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OmniTact: A Multi-Directional High Resolution Touch Sensor


Mar 16, 2020
Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine

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* Accepted at International Conference on Robotics and Automation (ICRA) 2020 
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Objective Mismatch in Model-based Reinforcement Learning


Feb 11, 2020
Nathan Lambert, Brandon Amos, Omry Yadan, Roberto Calandra

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* 8 pages, 2 pages references, 5 pages appendices 
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Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization


Jan 31, 2020
Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy

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


Nov 15, 2019
Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra

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* Accepted for the Conference on Robot Learning 2019 
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Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning


Sep 26, 2019
Tianyu Li, Nathan Lambert, Roberto Calandra, Franziska Meier, Akshara Rai

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* Submitted to 2020 ICRA 
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Data-efficient Learning of Morphology and Controller for a Microrobot


May 03, 2019
Thomas Liao, Grant Wang, Brian Yang, Rene Lee, Kristofer Pister, Sergey Levine, Roberto Calandra

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* Accepted at ICRA-2019. 6 pages 
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Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots


Apr 07, 2019
Dieter Büchler, Roberto Calandra, Jan Peters

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* 12 pages, preprint submitted to Journal of Robotics and Autonomous Systems 
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Manipulation by Feel: Touch-Based Control with Deep Predictive Models


Mar 11, 2019
Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine

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* Accepted to ICRA 2019 
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Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching


Mar 08, 2019
Justin Lin, Roberto Calandra, Sergey Levine

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* 6 pages; accepted to IEEE International Conference on Robotics and Automation 2019 (ICRA 2019) 
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Fast Neural Network Verification via Shadow Prices


Mar 08, 2019
Vicenc Rubies-Royo, Roberto Calandra, Dusan M. Stipanovic, Claire Tomlin

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


Jan 11, 2019
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Roberto Calandra, Sergey Levine, Kristofer S. J. Pister

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* 10 pages, 12 figures 
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