Learning Deep Belief Networks from Non-stationary Streams. - Roberto Calandra; Tapani Raiko; Marc Peter Deisenroth; Federico Montesino-Pouzols (ICANN (2), 2012)

Toward fast policy search for learning legged locomotion. - Marc Peter Deisenroth; Roberto Calandra; André Seyfarth; Jan Peters 001 (IROS, 2012)

An experimental comparison of Bayesian optimization for bipedal locomotion. - Roberto Calandra; André Seyfarth; Jan Peters 001; Marc Peter Deisenroth (ICRA, 2014)

Bayesian Gait Optimization for Bipedal Locomotion. - Roberto Calandra; Nakul Gopalan; André Seyfarth; Jan Peters 001; Marc Peter Deisenroth (LION, 2014)

Learning torque control in presence of contacts using tactile sensing from robot skin. - Roberto Calandra; Serena Ivaldi; Marc Peter Deisenroth; Jan Peters 001 (Humanoids, 2015)

First-person tele-operation of a humanoid robot. - Lars Fritsche; Felix Unverzag; Jan Peters 001; Roberto Calandra (Humanoids, 2015)

Learning inverse dynamics models with contacts. - Roberto Calandra; Serena Ivaldi; Marc Peter Deisenroth; Elmar Rueckert; Jan Peters 001 (ICRA, 2015)

Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations. - Elmar Rueckert; Rudolf Lioutikov; Roberto Calandra; Marius Schmidt; Philipp Beckerle; Jan Peters 001 (CoRR, 2015)

Manifold Gaussian Processes for regression. - Roberto Calandra; Jan Peters 001; Carl Edward Rasmussen; Marc Peter Deisenroth (IJCNN, 2016)

Active tactile object exploration with Gaussian processes. - Zhengkun Yi; Roberto Calandra; Filipe Veiga; Herke van Hoof; Tucker Hermans; Yilei Zhang; Jan Peters 001 (IROS, 2016)

A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction. - Paul Weber; Elmar Rueckert; Roberto Calandra; Jan Peters 001; Philipp Beckerle (RO-MAN, 2016)

Bayesian optimization for learning gaits under uncertainty - An experimental comparison on a dynamic bipedal walker. - Roberto Calandra; André Seyfarth; Jan Peters 001; Marc Peter Deisenroth (Ann. Math. Artif. Intell., 2016)

Goal-driven dynamics learning via Bayesian optimization. - Somil Bansal; Roberto Calandra; Ted Xiao; Sergey Levine; Claire J. Tomlin (CDC, 2017)

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? - Roberto Calandra; Andrew Owens; Manu Upadhyaya; Wenzhen Yuan 001; Justin Lin; Edward H. Adelson; Sergey Levine (CoRL, 2017)

MBMF: Model-Based Priors for Model-Free Reinforcement Learning. - Somil Bansal; Roberto Calandra; Sergey Levine; Claire J. Tomlin (CoRR, 2017)

Bayesian Modeling for Optimization and Control in Robotics. - Roberto Calandra (2017)

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. - Kurtland Chua; Roberto Calandra; Rowan McAllister; Sergey Levine (NeurIPS, 2018)

Control of Musculoskeletal Systems Using Learned Dynamics Models. - Dieter Buchler; Roberto Calandra; Bernhard Schölkopf; Jan Peters 001 (IEEE Robotics Autom. Lett., 2018)

More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch. - Roberto Calandra; Andrew Owens; Dinesh Jayaraman; Justin Lin; Wenzhen Yuan 001; Jitendra Malik; Edward H. Adelson; Sergey Levine (IEEE Robotics Autom. Lett., 2018)

Learning Flexible and Reusable Locomotion Primitives for a Microrobot. - Brian H. Yang; Grant Wang; Roberto Calandra; Daniel Contreras; Sergey Levine; Kristofer S. J. Pister (IEEE Robotics Autom. Lett., 2018)

Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. - Kevin Sebastian Luck; Heni Ben Amor; Roberto Calandra (CoRL, 2019)

Data-efficient Learning of Morphology and Controller for a Microrobot. - Thomas Liao; Grant Wang; Brian H. Yang; Rene Lee; Kristofer S. J. Pister; Sergey Levine; Roberto Calandra (ICRA, 2019)

Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. - Justin Lin; Roberto Calandra; Sergey Levine (ICRA, 2019)

Manipulation by Feel: Touch-Based Control with Deep Predictive Models. - Stephen Tian; Frederik Ebert; Dinesh Jayaraman; Mayur Mudigonda; Chelsea Finn; Roberto Calandra; Sergey Levine (ICRA, 2019)

Fast Neural Network Verification via Shadow Prices. - Vicenc Rubies-Royo; Roberto Calandra; Dusan M. Stipanovic; Claire J. Tomlin (CoRR, 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 (IEEE Robotics Autom. Lett., 2019)

Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering. - Simon Olofsson; Mohammad Mehrian; Roberto Calandra; Liesbet Geris; Marc Peter Deisenroth; Ruth Misener (IEEE Trans. Biomed. Eng., 2019)

Adversarial Continual Learning. - Sayna Ebrahimi; Franziska Meier; Roberto Calandra; Trevor Darrell; Marcus Rohrbach (ECCV (11), 2020)

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. - Tianyu Li; Nathan O. Lambert; Roberto Calandra; Franziska Meier; Akshara Rai (ICRA, 2020)

OmniTact: A Multi-Directional High-Resolution Touch Sensor. - Akhil Padmanabha; Frederik Ebert; Stephen Tian; Roberto Calandra; Chelsea Finn; Sergey Levine (ICRA, 2020)

Objective Mismatch in Model-based Reinforcement Learning. - Nathan O. Lambert; Brandon Amos; Omry Yadan; Roberto Calandra (L4DC, 2020)

Plan2Vec: Unsupervised Representation Learning by Latent Plans. - Ge Yang 003; Amy Zhang 001; Ari S. Morcos; Joelle Pineau; Pieter Abbeel; Roberto Calandra (L4DC, 2020)

Active MR k-space Sampling with Reinforcement Learning. - Luis Pineda; Sumana Basu; Adriana Romero; Roberto Calandra; Michal Drozdzal (MICCAI (2), 2020)

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. - Benjamin Letham; Roberto Calandra; Akshara Rai; Eytan Bakshy (NeurIPS, 2020)

3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; Roberto Calandra; Adriana Romero; Georgia Gkioxari; David Meger; Jitendra Malik; Michal Drozdzal (NeurIPS, 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 H. Yang; Benjamin Maloon; Victoria Rose Most; Dave Stroud; Raymond Santos; Ahmad Byagowi; Gregg Kammerer; Dinesh Jayaraman; Roberto Calandra (IEEE Robotics Autom. Lett., 2020)

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. - Baohe Zhang; Raghu Rajan; Luis Pineda; Nathan O. Lambert; André Biedenkapp; Kurtland Chua; Frank Hutter; Roberto Calandra (AISTATS, 2021)

Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. - Nathan O. Lambert; Albert Wilcox; Howard Zhang; Kristofer S. J. Pister; Roberto Calandra (CDC, 2021)

Learning Invariant Representations for Reinforcement Learning without Reconstruction. - Amy Zhang 001; Rowan Thomas McAllister; Roberto Calandra; Yarin Gal; Sergey Levine (ICLR, 2021)

PyTouch: A Machine Learning Library for Touch Processing. - Mike Lambeta; Huazhe Xu; Jingwei Xu 005; Po-Wei Chou; Shaoxiong Wang; Trevor Darrell; Roberto Calandra (ICRA, 2021)

Active 3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; David Meger; Luis Pineda; Roberto Calandra; Jitendra Malik; Adriana Romero-Soriano; Michal Drozdzal (NeurIPS, 2021)

Model-Invariant State Abstractions for Model-Based Reinforcement Learning. - Manan Tomar; Amy Zhang 001; Roberto Calandra; Matthew E. Taylor; Joelle Pineau (CoRR, 2021)

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning. - Luis Pineda; Brandon Amos; Amy Zhang 001; Nathan O. Lambert; Roberto Calandra (CoRR, 2021)

Active 3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; David Meger; Luis Pineda; Roberto Calandra; Jitendra Malik; Adriana Romero; Michal Drozdzal (CoRR, 2021)

What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks. - Kevin Sebastian Luck; Roberto Calandra; Michael N. Mistry (CoRR, 2021)

Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads. - Suneel Belkhale; Rachel Li; Gregory Kahn; Rowan McAllister; Roberto Calandra; Sergey Levine (IEEE Robotics Autom. Lett., 2021)

Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. - Tianyu Li; Roberto Calandra; Deepak Pathak; Yuandong Tian; Franziska Meier; Akshara Rai (IEEE Robotics Autom. Lett., 2021)

In-Hand Object Rotation via Rapid Motor Adaptation. - Haozhi Qi; Ashish Kumar 007; Roberto Calandra; Yi Ma 001; Jitendra Malik (CoRL, 2022)

Towards Learning to Play Piano with Dexterous Hands and Touch. - Huazhe Xu; Yuping Luo; Shaoxiong Wang; Trevor Darrell; Roberto Calandra (IROS, 2022)

Investigating Compounding Prediction Errors in Learned Dynamics Models. - Nathan O. Lambert; Kristofer S. J. Pister; Roberto Calandra (CoRR, 2022)

Learning Self-Supervised Representations from Vision and Touch for Active Sliding Perception of Deformable Surfaces. - Justin Kerr; Huang Huang; Albert Wilcox; Ryan Hoque; Jeffrey Ichnowski; Roberto Calandra; Ken Goldberg (CoRR, 2022)

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. - 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 (J. Artif. Intell. Res., 2022)

TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors. - Shaoxiong Wang; Mike Lambeta; Po-Wei Chou; Roberto Calandra (IEEE Robotics Autom. Lett., 2022)

Learning to Play Table Tennis From Scratch Using Muscular Robots. - Dieter Büchler; Simon Guist; Roberto Calandra; Vincent Berenz; Bernhard Schölkopf; Jan Peters 001 (IEEE Trans. Robotics, 2022)

General In-hand Object Rotation with Vision and Touch. - Haozhi Qi; Brent Yi; Sudharshan Suresh; Mike Lambeta; Yi Ma 001; Roberto Calandra; Jitendra Malik (CoRL, 2023)

Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice. - Johannes V. S. Busch; Robert Voelckner; Peter Sossalla; Christian L. Vielhaus; Roberto Calandra; Frank H. P. Fitzek (ICMLA, 2023)

Co-imagination of Behaviour and Morphology of Agents. - Maria Sliacka; Michael N. Mistry; Roberto Calandra; Ville Kyrki; Kevin Sebastian Luck (LOD (1), 2023)

Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features. - Justin Kerr; Huang Huang; Albert Wilcox; Ryan Hoque; Jeffrey Ichnowski; Roberto Calandra; Ken Goldberg (Robotics: Science and Systems, 2023)

The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback. - Nathan O. Lambert; Roberto Calandra (CoRR, 2023)

Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. - Sudharshan Suresh; Haozhi Qi; Tingfan Wu; Taosha Fan; Luis Pineda; Mike Lambeta; Jitendra Malik; Mrinal Kalakrishnan; Roberto Calandra; Michael Kaess; Joseph Ortiz; Mustafa Mukadam (CoRR, 2023)

Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. - Dieter Büchler; Roberto Calandra; Jan Peters 001 (Robotics Auton. Syst., 2023)

A Touch, Vision, and Language Dataset for Multimodal Alignment. - Letian Fu; Gaurav Datta; Huang Huang; William Chung-Ho Panitch; Jaimyn Drake; Joseph Ortiz; Mustafa Mukadam; Mike Lambeta; Roberto Calandra; Ken Goldberg (ICML, 2024)

Unifying Model-Based and Model-Free Reinforcement Learning with Equivalent Policy Sets. - Benjamin Freed; Thomas Wei; Roberto Calandra; Jeff Schneider 001; Howie Choset (RLJ, 2024)

ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI. - Stone Tao; Fanbo Xiang; Arth Shukla; Yuzhe Qin; Xander Hinrichsen; Xiaodi Yuan; Chen Bao; Xinsong Lin; Yulin Liu; Tse-kai Chan; Yuan Gao; Xuanlin Li; et al. (CoRR, 2024)

Digitizing Touch with an Artificial Multimodal Fingertip. - Mike Lambeta; Tingfan Wu; Ali Sengul; Victoria Rose Most; Nolan Black; Kevin Sawyer; Romeo Mercado; Haozhi Qi; Alexander Sohn; Byron Taylor; Norb Tydingco; Gregg Kammerer; et al. (CoRR, 2024)

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing. - Chuanyu Li; Renjun Dang; Xiang Li 009; Zhiyuan Wu; Jing Xu 011; Hamidreza Kasaei 001; Roberto Calandra; Nathan F. Lepora; Shan Luo 001; Hao Su 001; Rui Chen 019 (CoRR, 2024)

NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation. - Sudharshan Suresh; Haozhi Qi; Tingfan Wu; Taosha Fan; Luis Pineda; Mike Lambeta; Jitendra Malik; Mrinal Kalakrishnan; Roberto Calandra; Michael Kaess; Joseph Ortiz; Mustafa Mukadam (Sci. Robotics, 2024)

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. - Ran Wei; Nathan Lambert 001; Anthony D. McDonald; Alfredo García 001; Roberto Calandra (Trans. Mach. Learn. Res., 2024)

Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation. - Niklas Funk; Erik Helmut; Georgia Chalvatzaki; Roberto Calandra; Jan Peters 001 (IEEE Trans. Robotics, 2024)

Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors. - Julia Di; Zdravko Dugonjic; Will Fu; Tingfan Wu; Romeo Mercado; Kevin Sawyer; Victoria Rose Most; Gregg Kammerer; Stefanie Speidel; Richard E. Fan; Geoffrey A. Sonn; Mark R. Cutkosky; et al. (IEEE Trans. Robotics, 2025)

From Simple to Complex Skills: The Case of In-Hand Object Reorientation. - Haozhi Qi; Brent Yi; Mike Lambeta; Yi Ma 001; Roberto Calandra; Jitendra Malik (CoRR, 2025)

Learning Gentle Grasping Using Vision, Sound, and Touch. - Ken Nakahara; Roberto Calandra (CoRR, 2025)

Learning to Play Piano in the Real World. - Yves-Simon Zeulner; Sandeep Selvaraj; Roberto Calandra (CoRR, 2025)

Enhance Vision-based Tactile Sensors via Dynamic Illumination and Image Fusion. - Artemii Redkin; Zdravko Dugonjic; Mike Lambeta; Roberto Calandra (CoRR, 2025)

On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting. - Niklas Funk; Changqi Chen; Tim Schneider; Georgia Chalvatzaki; Roberto Calandra; Jan Peters 001 (CoRR, 2025)

Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach. - Tim Schneider; Cristiana de Farias; Roberto Calandra; Liming Chen 002; Jan Peters 001 (CoRR, 2025)

Tactile MNIST: Benchmarking Active Tactile Perception. - Tim Schneider; Guillaume Duret; Cristiana de Farias; Roberto Calandra; Liming Chen 002; Jan Peters 001 (CoRR, 2025)

Learning Dexterous Object Handover. - Daniel Frau-Alfaro; Julio Castaño-Amoros; Santiago T. Puente; Pablo Gil; Roberto Calandra (CoRR, 2025)

Effective Explanations for Belief-Desire-Intention Robots: When and What to Explain. - Cong Wang; Roberto Calandra; Verena Klös (CoRR, 2025)