Roberto Calandra

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 90

Top Venues

CoRR

IEEE Robotics Autom. Lett.

ICRA

NeurIPS

Darmstadt University of Technology, Germany (PHD)

Education History

Darmstadt University of Technology, Germany

PHD

Publications

Ran Wei, Nathan O. Lambert, Anthony D. McDonald, Alfredo Garcia, Roberto Calandra
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. CoRR (2023)
Dieter Büchler, Roberto Calandra, Jan Peters
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. Robotics Auton. Syst. 159 (2023)
Nathan O. Lambert, Roberto Calandra
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback. CoRR (2023)
Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. CoRR (2023)
Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
General In-Hand Object Rotation with Vision and Touch. CoRR (2023)
Justin Kerr, Huang Huang, Albert Wilcox, Ryan Hoque, Jeffrey Ichnowski, Roberto Calandra, Ken Goldberg
Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features. Robotics: Science and Systems (2023)
Maria Sliacka, Michael N. Mistry, Roberto Calandra, Ville Kyrki, Kevin Sebastian Luck
Co-imagination of Behaviour and Morphology of Agents. LOD (1) (2023)
Johannes V. S. Busch, Robert Voelckner, Peter Sossalla, Christian L. Vielhaus, Roberto Calandra, Frank H. P. Fitzek
Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice. CoRR (2023)
Niklas Funk, Erik Helmut, Georgia Chalvatzaki, Roberto Calandra, Jan Peters
Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation. CoRR (2023)
Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
General In-hand Object Rotation with Vision and Touch. CoRL (2023)
Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR (2022)
Nathan O. Lambert, Kristofer S. J. Pister, Roberto Calandra
Investigating Compounding Prediction Errors in Learned Dynamics Models. CoRR (2022)
Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
Towards Learning to Play Piano with Dexterous Hands and Touch. IROS (2022)
Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters
Learning to Play Table Tennis From Scratch Using Muscular Robots. IEEE Trans. Robotics 38 (6) (2022)
Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. 74 (2022)
Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik
In-Hand Object Rotation via Rapid Motor Adaptation. CoRR (2022)
Shaoxiong Wang, Mike Lambeta, Po-Wei Chou, Roberto Calandra
TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors. IEEE Robotics Autom. Lett. 7 (2) (2022)
Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik
In-Hand Object Rotation via Rapid Motor Adaptation. CoRL (2022)
Justin Kerr, Huang Huang, Albert Wilcox, Ryan Hoque, Jeffrey Ichnowski, Roberto Calandra, Ken Goldberg
Learning Self-Supervised Representations from Vision and Touch for Active Sliding Perception of Deformable Surfaces. CoRR (2022)
Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
PyTouch: A Machine Learning Library for Touch Processing. ICRA (2021)
Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau
Model-Invariant State Abstractions for Model-Based Reinforcement Learning. CoRR (2021)
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal
Active 3D Shape Reconstruction from Vision and Touch. NeurIPS (2021)
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. CoRR (2021)
Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. CDC (2021)
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. AISTATS (2021)
Kevin Sebastian Luck, Roberto Calandra, Michael N. Mistry
What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks. CoRR (2021)
Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
PyTouch: A Machine Learning Library for Touch Processing. CoRR (2021)
Amy Zhang, Rowan Thomas McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
Learning Invariant Representations for Reinforcement Learning without Reconstruction. ICLR (2021)
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
Active 3D Shape Reconstruction from Vision and Touch. CoRR (2021)
Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. IEEE Robotics Autom. Lett. 6 (2) (2021)
Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
Towards Learning to Play Piano with Dexterous Hands and Touch. CoRR (2021)
Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning. CoRR (2021)
Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine
Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads. IEEE Robotics Autom. Lett. 6 (2) (2021)
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
Adversarial Continual Learning. CoRR (2020)
Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters
Learning to Play Table Tennis From Scratch using Muscular Robots. CoRR (2020)
Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. CoRR (2020)
Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian H. Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation. IEEE Robotics Autom. Lett. 5 (3) (2020)
Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
Objective Mismatch in Model-based Reinforcement Learning. L4DC (2020)
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
3D Shape Reconstruction from Vision and Touch. NeurIPS (2020)
Shaoxiong Wang, Mike Lambeta, Po-Wei Chou, Roberto Calandra
TACTO: A Fast, Flexible and Open-source Simulator for High-Resolution Vision-based Tactile Sensors. CoRR (2020)
Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. NeurIPS (2020)
Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
Objective Mismatch in Model-based Reinforcement Learning. CoRR (2020)
Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
Plan2Vec: Unsupervised Representation Learning by Latent Plans. CoRR (2020)
Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. ICRA (2020)
Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. CoRR (2020)
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
Adversarial Continual Learning. ECCV (11) (2020)
Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine
OmniTact: A Multi-Directional High-Resolution Touch Sensor. ICRA (2020)
Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian H. Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation. CoRR (2020)
Amy Zhang, Rowan McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
Learning Invariant Representations for Reinforcement Learning without Reconstruction. CoRR (2020)
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
Active MR k-space Sampling with Reinforcement Learning. CoRR (2020)
Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine
Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads. CoRR (2020)
Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. CoRR (2020)
Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
Plan2Vec: Unsupervised Representation Learning by Latent Plans. L4DC (2020)
Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine
OmniTact: A Multi-Directional High Resolution Touch Sensor. CoRR (2020)
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
3D Shape Reconstruction from Vision and Touch. CoRR (2020)
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
Active MR k-space Sampling with Reinforcement Learning. MICCAI (2) (2020)
Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine
Manipulation by Feel: Touch-Based Control with Deep Predictive Models. CoRR (2019)
Justin Lin, Roberto Calandra, Sergey Levine
Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. ICRA (2019)
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Roberto Calandra, Sergey Levine, Kristofer S. J. Pister
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement learning. CoRR (2019)
Justin Lin, Roberto Calandra, Sergey Levine
Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. CoRR (2019)
Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine
Manipulation by Feel: Touch-Based Control with Deep Predictive Models. ICRA (2019)
Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. CoRL (2019)
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Sergey Levine, Roberto Calandra, Kristofer S. J. Pister
Low-Level Control of a Quadrotor With Deep Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. 4 (4) (2019)
Dieter Büchler, Roberto Calandra, Jan Peters
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. CoRR (2019)
Thomas Liao, Grant Wang, Brian H. Yang, Rene Lee, Kristofer S. J. Pister, Sergey Levine, Roberto Calandra
Data-efficient Learning of Morphology and Controller for a Microrobot. CoRR (2019)
Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. CoRR (2019)
Thomas Liao, Grant Wang, Brian H. Yang, Rene Lee, Kristofer S. J. Pister, Sergey Levine, Roberto Calandra
Data-efficient Learning of Morphology and Controller for a Microrobot. ICRA (2019)
Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. CoRR (2019)
Simon Olofsson, Mohammad Mehrian, Roberto Calandra, Liesbet Geris, Marc Peter Deisenroth, Ruth Misener
Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering. IEEE Trans. Biomed. Eng. 66 (3) (2019)
Vicenç Rúbies Royo, Roberto Calandra, Dusan M. Stipanovic, Claire J. Tomlin
Fast Neural Network Verification via Shadow Prices. CoRR (2019)
Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. CoRR (2018)
Dieter Buchler, Roberto Calandra, Bernhard Schölkopf, Jan Peters
Control of Musculoskeletal Systems Using Learned Dynamics Models. IEEE Robotics Autom. Lett. 3 (4) (2018)
Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. NeurIPS (2018)
Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine
More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch. IEEE Robotics Autom. Lett. 3 (4) (2018)
Brian H. Yang, Grant Wang, Roberto Calandra, Daniel Contreras, Sergey Levine, Kristofer S. J. Pister
Learning Flexible and Reusable Locomotion Primitives for a Microrobot. IEEE Robotics Autom. Lett. 3 (3) (2018)
Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch. CoRR (2018)
Brian H. Yang, Grant Wang, Roberto Calandra, Daniel Contreras, Sergey Levine, Kristofer S. J. Pister
Learning Flexible and Reusable Locomotion Primitives for a Microrobot. CoRR (2018)
Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin, Edward H. Adelson, Sergey Levine
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? CoRR (2017)
Somil Bansal, Roberto Calandra, Sergey Levine, Claire J. Tomlin
MBMF: Model-Based Priors for Model-Free Reinforcement Learning. CoRR (2017)
Somil Bansal, Roberto Calandra, Ted Xiao, Sergey Levine, Claire J. Tomlin
Goal-driven dynamics learning via Bayesian optimization. CDC (2017)
Somil Bansal, Roberto Calandra, Ted Xiao, Sergey Levine, Claire J. Tomlin
Goal-Driven Dynamics Learning via Bayesian Optimization. CoRR (2017)
Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin, Edward H. Adelson, Sergey Levine
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? CoRL (2017)
Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth
Manifold Gaussian Processes for regression. IJCNN (2016)
Paul Weber, Elmar Rueckert, Roberto Calandra, Jan Peters, Philipp Beckerle
A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction. RO-MAN (2016)
Roberto Calandra, André Seyfarth, Jan Peters, Marc Peter Deisenroth
Bayesian optimization for learning gaits under uncertainty - An experimental comparison on a dynamic bipedal walker. Ann. Math. Artif. Intell. 76 (1-2) (2016)
Zhengkun Yi, Roberto Calandra, Filipe Veiga, Herke van Hoof, Tucker Hermans, Yilei Zhang, Jan Peters
Active tactile object exploration with Gaussian processes. IROS (2016)
Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Elmar Rueckert, Jan Peters
Learning inverse dynamics models with contacts. ICRA (2015)
Lars Fritsche, Felix Unverzag, Jan Peters, Roberto Calandra
First-person tele-operation of a humanoid robot. Humanoids (2015)
Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Jan Peters
Learning torque control in presence of contacts using tactile sensing from robot skin. Humanoids (2015)
Elmar Rueckert, Rudolf Lioutikov, Roberto Calandra, Marius Schmidt, Philipp Beckerle, Jan Peters
Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations. CoRR (2015)
Roberto Calandra, André Seyfarth, Jan Peters, Marc Peter Deisenroth
An experimental comparison of Bayesian optimization for bipedal locomotion. ICRA (2014)
Roberto Calandra, Nakul Gopalan, André Seyfarth, Jan Peters, Marc Peter Deisenroth
Bayesian Gait Optimization for Bipedal Locomotion. LION (2014)
Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth
Manifold Gaussian Processes for Regression. CoRR (2014)
Marc Peter Deisenroth, Roberto Calandra, André Seyfarth, Jan Peters
Toward fast policy search for learning legged locomotion. IROS (2012)
Roberto Calandra, Tapani Raiko, Marc Peter Deisenroth, Federico Montesino-Pouzols
Learning Deep Belief Networks from Non-stationary Streams. ICANN (2) (2012)

Roberto Calandra.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Roberto Calandra