Roberto Calandra

125 papers A* 15A 6B 4C 1Misc 4Journal 82Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting. IEEE Robotics Autom. Lett. Niklas Funk, Changqi Chen, Tim Schneider, Georgia Chalvatzaki, Roberto Calandra, Jan Peters
2026	J	`jnl`	SemanticFeels: Semantic Labeling during In-Hand Manipulation. CoRR Anas Al Shikh Khalil, Haozhi Qi, Roberto Calandra
2025	J	`jnl`	Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach. CoRR Tim Schneider, Cristiana de Farias, Roberto Calandra, Liming Chen, Jan Peters
2025	B	`conf`	Effective Explanations for Belief-Desire-Intention Robots: When and What to Explain. RO-MAN Cong Wang, Roberto Calandra, Verena Klös
2025	J	`jnl`	Effective Explanations for Belief-Desire-Intention Robots: When and What to Explain. CoRR Cong Wang, Roberto Calandra, Verena Klös
2025	J	`jnl`	Enhance Vision-based Tactile Sensors via Dynamic Illumination and Image Fusion. CoRR Artemii Redkin, Zdravko Dugonjic, Mike Lambeta, Roberto Calandra
2025	A*	`conf`	From Simple to Complex Skills: The Case of In-Hand Object Reorientation. ICRA Haozhi Qi, Brent Yi, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
2025	J	`jnl`	From Simple to Complex Skills: The Case of In-Hand Object Reorientation. CoRR Haozhi Qi, Brent Yi, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
2025	B	`conf`	Learning Dexterous Object Handover. RO-MAN Daniel Frau-Alfaro, Julio Castaño-Amoros, Santiago T. Puente, Pablo Gil, Roberto Calandra
2025	J	`jnl`	Learning Dexterous Object Handover. CoRR Daniel Frau-Alfaro, Julio Castaño-Amoros, Santiago T. Puente, Pablo Gil, Roberto Calandra
2025	A	`conf`	Learning Gentle Grasping Using Vision, Sound, and Touch. IROS Ken Nakahara, Roberto Calandra
2025	J	`jnl`	Learning Gentle Grasping Using Vision, Sound, and Touch. CoRR Ken Nakahara, Roberto Calandra
2025	J	`jnl`	Learning to Play Piano in the Real World. CoRR Yves-Simon Zeulner, Sandeep Selvaraj, Roberto Calandra
2025	J	`jnl`	On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting. CoRR Niklas Funk, Changqi Chen, Tim Schneider, Georgia Chalvatzaki, Roberto Calandra, Jan Peters
2025	J	`jnl`	Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale. CoRR Tobias Jülg, Pierre Krack, Seongjin Bien, Yannik Blei, Khaled Gamal, Ken Nakahara, Johannes Hechtl, Roberto Calandra, Wolfram Burgard, Florian Walter
2025	J	`jnl`	Tactile MNIST: Benchmarking Active Tactile Perception. CoRR Tim Schneider, Guillaume Duret, Cristiana de Farias, Roberto Calandra, Liming Chen, Jan Peters
2025	J	`jnl`	Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors. IEEE Trans. Robotics 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, Mike Lambeta, Roberto Calandra
2024	A*	`conf`	A Touch, Vision, and Language Dataset for Multimodal Alignment. ICML Letian Fu, Gaurav Datta, Huang Huang, William Chung-Ho Panitch, Jaimyn Drake, Joseph Ortiz, Mustafa Mukadam, Mike Lambeta, Roberto Calandra, Ken Goldberg
2024	J	`jnl`	A Touch, Vision, and Language Dataset for Multimodal Alignment. CoRR Letian Fu, Gaurav Datta, Huang Huang, William Chung-Ho Panitch, Jaimyn Drake, Joseph Ortiz, Mustafa Mukadam, Mike Lambeta, Roberto Calandra, Ken Goldberg
2024	J	`jnl`	A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. Ran Wei, Nathan Lambert, Anthony D. McDonald, Alfredo García, Roberto Calandra
2024	J	`jnl`	Digitizing Touch with an Artificial Multimodal Fingertip. CoRR 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, Dave Stroud, Jake Khatha, Kurt Jenkins, Kyle Most, Neal Stein, Ricardo Chavira, Thomas Craven-Bartle, Eric Sanchez, Yitian Ding, Jitendra Malik, Roberto Calandra
2024	J	`jnl`	Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation. IEEE Trans. Robotics Niklas Funk, Erik Helmut, Georgia Chalvatzaki, Roberto Calandra, Jan Peters
2024	J	`jnl`	ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing. CoRR Chuanyu Li, Renjun Dang, Xiang Li, Zhiyuan Wu, Jing Xu, Hamidreza Kasaei, Roberto Calandra, Nathan F. Lepora, Shan Luo, Hao Su, Rui Chen
2024	J	`jnl`	ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI. CoRR 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, Tongzhou Mu, Nan Xiao, Arnav Gurha, Zhiao Huang, Roberto Calandra, Rui Chen, Shan Luo, Hao Su
2024	J	`jnl`	NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation. Sci. Robotics Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
2024	J	`jnl`	Unifying Model-Based and Model-Free Reinforcement Learning with Equivalent Policy Sets. RLJ Benjamin Freed, Thomas Wei, Roberto Calandra, Jeff Schneider, Howie Choset
2024	J	`jnl`	Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors. CoRR 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, Mike Lambeta, Roberto Calandra
2023	J	`jnl`	A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. CoRR Ran Wei, Nathan O. Lambert, Anthony D. McDonald, Alfredo García, Roberto Calandra
2023	—	`conf`	Co-imagination of Behaviour and Morphology of Agents. LOD (1) Maria Sliacka, Michael N. Mistry, Roberto Calandra, Ville Kyrki, Kevin Sebastian Luck
2023	C	`conf`	Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice. ICMLA Johannes V. S. Busch, Robert Voelckner, Peter Sossalla, Christian L. Vielhaus, Roberto Calandra, Frank H. P. Fitzek
2023	J	`jnl`	Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice. CoRR Johannes V. S. Busch, Robert Voelckner, Peter Sossalla, Christian L. Vielhaus, Roberto Calandra, Frank H. P. Fitzek
2023	J	`jnl`	Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation. CoRR Niklas Funk, Erik Helmut, Georgia Chalvatzaki, Roberto Calandra, Jan Peters
2023	J	`jnl`	General In-Hand Object Rotation with Vision and Touch. CoRR Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
2023	Misc	`conf`	General In-hand Object Rotation with Vision and Touch. CoRL Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
2023	J	`jnl`	Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. Robotics Auton. Syst. Dieter Büchler, Roberto Calandra, Jan Peters
2023	J	`jnl`	Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. CoRR Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
2023	—	`conf`	Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features. Robotics: Science and Systems Justin Kerr, Huang Huang, Albert Wilcox, Ryan Hoque, Jeffrey Ichnowski, Roberto Calandra, Ken Goldberg
2023	J	`jnl`	The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback. CoRR Nathan O. Lambert, Roberto Calandra
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR 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
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. 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
2022	Misc	`conf`	In-Hand Object Rotation via Rapid Motor Adaptation. CoRL Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik
2022	J	`jnl`	In-Hand Object Rotation via Rapid Motor Adaptation. CoRR Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik
2022	J	`jnl`	Investigating Compounding Prediction Errors in Learned Dynamics Models. CoRR Nathan O. Lambert, Kristofer S. J. Pister, Roberto Calandra
2022	J	`jnl`	Learning Self-Supervised Representations from Vision and Touch for Active Sliding Perception of Deformable Surfaces. CoRR Justin Kerr, Huang Huang, Albert Wilcox, Ryan Hoque, Jeffrey Ichnowski, Roberto Calandra, Ken Goldberg
2022	J	`jnl`	Learning to Play Table Tennis From Scratch Using Muscular Robots. IEEE Trans. Robotics Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters
2022	J	`jnl`	TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors. IEEE Robotics Autom. Lett. Shaoxiong Wang, Mike Lambeta, Po-Wei Chou, Roberto Calandra
2022	A	`conf`	Towards Learning to Play Piano with Dexterous Hands and Touch. IROS Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
2021	A*	`conf`	Active 3D Shape Reconstruction from Vision and Touch. NeurIPS Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal
2021	J	`jnl`	Active 3D Shape Reconstruction from Vision and Touch. CoRR Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
2021	—	`conf`	Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. CDC Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra
2021	A*	`conf`	Learning Invariant Representations for Reinforcement Learning without Reconstruction. ICLR Amy Zhang, Rowan Thomas McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
2021	J	`jnl`	MBRL-Lib: A Modular Library for Model-based Reinforcement Learning. CoRR Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra
2021	J	`jnl`	Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads. IEEE Robotics Autom. Lett. Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine
2021	J	`jnl`	Model-Invariant State Abstractions for Model-Based Reinforcement Learning. CoRR Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau
2021	A	`conf`	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. AISTATS Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
2021	J	`jnl`	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. CoRR Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
2021	J	`jnl`	Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. IEEE Robotics Autom. Lett. Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai
2021	A*	`conf`	PyTouch: A Machine Learning Library for Touch Processing. ICRA Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
2021	J	`jnl`	PyTouch: A Machine Learning Library for Touch Processing. CoRR Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
2021	J	`jnl`	Towards Learning to Play Piano with Dexterous Hands and Touch. CoRR Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
2021	J	`jnl`	What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks. CoRR Kevin Sebastian Luck, Roberto Calandra, Michael N. Mistry
2020	A*	`conf`	3D Shape Reconstruction from Vision and Touch. NeurIPS Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
2020	J	`jnl`	3D Shape Reconstruction from Vision and Touch. CoRR Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
2020	—	`conf`	Active MR k-space Sampling with Reinforcement Learning. MICCAI (2) Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
2020	J	`jnl`	Active MR k-space Sampling with Reinforcement Learning. CoRR Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
2020	—	`conf`	Adversarial Continual Learning. ECCV (11) Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
2020	J	`jnl`	Adversarial Continual Learning. CoRR Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
2020	J	`jnl`	DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation. IEEE Robotics Autom. Lett. 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
2020	J	`jnl`	DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation. CoRR 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
2020	J	`jnl`	Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. CoRR Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra
2020	A*	`conf`	Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. ICRA Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai
2020	J	`jnl`	Learning Invariant Representations for Reinforcement Learning without Reconstruction. CoRR Amy Zhang, Rowan McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
2020	J	`jnl`	Learning to Play Table Tennis From Scratch using Muscular Robots. CoRR Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters
2020	J	`jnl`	Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads. CoRR Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine
2020	—	`conf`	Objective Mismatch in Model-based Reinforcement Learning. L4DC Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
2020	J	`jnl`	Objective Mismatch in Model-based Reinforcement Learning. CoRR Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
2020	J	`jnl`	OmniTact: A Multi-Directional High Resolution Touch Sensor. CoRR Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine
2020	A*	`conf`	OmniTact: A Multi-Directional High-Resolution Touch Sensor. ICRA Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine
2020	—	`conf`	Plan2Vec: Unsupervised Representation Learning by Latent Plans. L4DC Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
2020	J	`jnl`	Plan2Vec: Unsupervised Representation Learning by Latent Plans. CoRR Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
2020	J	`jnl`	Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. CoRR Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai
2020	A*	`conf`	Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. NeurIPS Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy
2020	J	`jnl`	Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. CoRR Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy
2020	J	`jnl`	TACTO: A Fast, Flexible and Open-source Simulator for High-Resolution Vision-based Tactile Sensors. CoRR Shaoxiong Wang, Mike Lambeta, Po-Wei Chou, Roberto Calandra
2020	A	`ed.`	The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy] AISTATS Silvia Chiappa, Roberto Calandra
2019	J	`jnl`	Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering. IEEE Trans. Biomed. Eng. Simon Olofsson, Mohammad Mehrian, Roberto Calandra, Liesbet Geris, Marc Peter Deisenroth, Ruth Misener
2019	Misc	`conf`	Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. CoRL Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra
2019	J	`jnl`	Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. CoRR Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra
2019	A*	`conf`	Data-efficient Learning of Morphology and Controller for a Microrobot. ICRA Thomas Liao, Grant Wang, Brian H. Yang, Rene Lee, Kristofer S. J. Pister, Sergey Levine, Roberto Calandra
2019	J	`jnl`	Data-efficient Learning of Morphology and Controller for a Microrobot. CoRR Thomas Liao, Grant Wang, Brian H. Yang, Rene Lee, Kristofer S. J. Pister, Sergey Levine, Roberto Calandra
2019	J	`jnl`	Fast Neural Network Verification via Shadow Prices. CoRR Vicenc Rubies-Royo, Roberto Calandra, Dusan M. Stipanovic, Claire J. Tomlin
2019	J	`jnl`	Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. CoRR Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai
2019	J	`jnl`	Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. CoRR Dieter Büchler, Roberto Calandra, Jan Peters
2019	A*	`conf`	Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. ICRA Justin Lin, Roberto Calandra, Sergey Levine
2019	J	`jnl`	Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. CoRR Justin Lin, Roberto Calandra, Sergey Levine
2019	J	`jnl`	Low Level Control of a Quadrotor with Deep Model-Based Reinforcement learning. CoRR Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Roberto Calandra, Sergey Levine, Kristofer S. J. Pister
2019	J	`jnl`	Low-Level Control of a Quadrotor With Deep Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Sergey Levine, Roberto Calandra, Kristofer S. J. Pister
2019	A*	`conf`	Manipulation by Feel: Touch-Based Control with Deep Predictive Models. ICRA Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine
2019	J	`jnl`	Manipulation by Feel: Touch-Based Control with Deep Predictive Models. CoRR Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine
2018	J	`jnl`	Control of Musculoskeletal Systems Using Learned Dynamics Models. IEEE Robotics Autom. Lett. Dieter Buchler, Roberto Calandra, Bernhard Schölkopf, Jan Peters
2018	A*	`conf`	Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. NeurIPS Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
2018	J	`jnl`	Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. CoRR Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
2018	J	`jnl`	Learning Flexible and Reusable Locomotion Primitives for a Microrobot. CoRR Brian H. Yang, Grant Wang, Roberto Calandra, Daniel Contreras, Sergey Levine, Kristofer S. J. Pister
2018	J	`jnl`	Learning Flexible and Reusable Locomotion Primitives for a Microrobot. IEEE Robotics Autom. Lett. Brian H. Yang, Grant Wang, Roberto Calandra, Daniel Contreras, Sergey Levine, Kristofer S. J. Pister
2018	J	`jnl`	More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch. IEEE Robotics Autom. Lett. Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine
2018	J	`jnl`	More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch. CoRR Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine
2017	—	`—`	Bayesian Modeling for Optimization and Control in Robotics. Roberto Calandra
2017	J	`jnl`	Goal-Driven Dynamics Learning via Bayesian Optimization. CoRR Somil Bansal, Roberto Calandra, Ted Xiao, Sergey Levine, Claire J. Tomlin
2017	—	`conf`	Goal-driven dynamics learning via Bayesian optimization. CDC Somil Bansal, Roberto Calandra, Ted Xiao, Sergey Levine, Claire J. Tomlin
2017	J	`jnl`	MBMF: Model-Based Priors for Model-Free Reinforcement Learning. CoRR Somil Bansal, Roberto Calandra, Sergey Levine, Claire J. Tomlin
2017	Misc	`conf`	The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? CoRL Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin, Edward H. Adelson, Sergey Levine
2017	J	`jnl`	The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? CoRR Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin, Edward H. Adelson, Sergey Levine
2016	B	`conf`	A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction. RO-MAN Paul Weber, Elmar Rueckert, Roberto Calandra, Jan Peters, Philipp Beckerle
2016	A	`conf`	Active tactile object exploration with Gaussian processes. IROS Zhengkun Yi, Roberto Calandra, Filipe Veiga, Herke van Hoof, Tucker Hermans, Yilei Zhang, Jan Peters
2016	J	`jnl`	Bayesian optimization for learning gaits under uncertainty - An experimental comparison on a dynamic bipedal walker. Ann. Math. Artif. Intell. Roberto Calandra, André Seyfarth, Jan Peters, Marc Peter Deisenroth
2016	B	`conf`	Manifold Gaussian Processes for regression. IJCNN Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth
2015	—	`conf`	First-person tele-operation of a humanoid robot. Humanoids Lars Fritsche, Felix Unverzag, Jan Peters, Roberto Calandra
2015	A*	`conf`	Learning inverse dynamics models with contacts. ICRA Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Elmar Rueckert, Jan Peters
2015	—	`conf`	Learning torque control in presence of contacts using tactile sensing from robot skin. Humanoids Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Jan Peters
2015	J	`jnl`	Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations. CoRR Elmar Rueckert, Rudolf Lioutikov, Roberto Calandra, Marius Schmidt, Philipp Beckerle, Jan Peters
2014	A*	`conf`	An experimental comparison of Bayesian optimization for bipedal locomotion. ICRA Roberto Calandra, André Seyfarth, Jan Peters, Marc Peter Deisenroth
2014	—	`conf`	Bayesian Gait Optimization for Bipedal Locomotion. LION Roberto Calandra, Nakul Gopalan, André Seyfarth, Jan Peters, Marc Peter Deisenroth
2014	J	`jnl`	Manifold Gaussian Processes for Regression. CoRR Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth
2012	—	`conf`	Learning Deep Belief Networks from Non-stationary Streams. ICANN (2) Roberto Calandra, Tapani Raiko, Marc Peter Deisenroth, Federico Montesino-Pouzols
2012	A	`conf`	Toward fast policy search for learning legged locomotion. IROS Marc Peter Deisenroth, Roberto Calandra, André Seyfarth, Jan Peters