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ORCIDRoberto Calandra
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- affiliation: TU Dresden, Germany
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2020 – today
- 2024
[j15]Ran Wei, Nathan Lambert, Anthony D. McDonald, Alfredo García, Roberto Calandra:
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024)- [j14]Niklas Funk
, Erik Helmut, Georgia Chalvatzaki, Roberto Calandra, Jan Peters:
Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation. IEEE Trans. Robotics 40: 3812-3832 (2024) - [c38]Letian Fu, Gaurav Datta, Huang Huang, William Chung-Ho Panitch, Jaimyn Drake, Joseph Ortiz, Mustafa Mukadam, Mike Lambeta, Roberto Calandra, Ken Goldberg:
A Touch, Vision, and Language Dataset for Multimodal Alignment. ICML 2024 - [c37]Benjamin Freed, Thomas Wei, Roberto Calandra, Jeff Schneider, Howie Choset:
Unifying Model-Based and Model-Free Reinforcement Learning with Equivalent Policy Sets. RLC 2024: 283-301 - [i50]Letian Fu, Gaurav Datta, Huang Huang, William Chung-Ho Panitch, Jaimyn Drake, Joseph Ortiz, Mustafa Mukadam, Mike Lambeta, Roberto Calandra, Ken Goldberg:
A Touch, Vision, and Language Dataset for Multimodal Alignment. CoRR abs/2402.13232 (2024) - [i49]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:
Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors. CoRR abs/2403.05500 (2024) - [i48]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:
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI. CoRR abs/2410.00425 (2024) - 2023
- [j13]Dieter Büchler, Roberto Calandra, Jan Peters:
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. Robotics Auton. Syst. 159: 104230 (2023) - [c36]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: 2549-2564 - [c35]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. ICMLA 2023: 182-187 - [c34]Maria Sliacka, Michael N. Mistry, Roberto Calandra, Ville Kyrki, Kevin Sebastian Luck:
Co-imagination of Behaviour and Morphology of Agents. LOD (1) 2023: 318-332 - [c33]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 - [i47]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 abs/2309.09881 (2023) - [i46]Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik:
General In-Hand Object Rotation with Vision and Touch. CoRR abs/2309.09979 (2023) - [i45]Ran Wei, Nathan O. Lambert, Anthony D. McDonald, Alfredo García, Roberto Calandra:
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. CoRR abs/2310.06253 (2023) - [i44]Nathan O. Lambert, Roberto Calandra:
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback. CoRR abs/2311.00168 (2023) - [i43]Niklas Funk, Erik Helmut, Georgia Chalvatzaki, Roberto Calandra, Jan Peters:
Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation. CoRR abs/2312.01236 (2023) - [i42]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 abs/2312.13469 (2023) - 2022
- [j12]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: 517-568 (2022) - [j11]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): 3930-3937 (2022) - [j10]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): 3850-3860 (2022) - [c32]Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik:
In-Hand Object Rotation via Rapid Motor Adaptation. CoRL 2022: 1722-1732 - [c31]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
Towards Learning to Play Piano with Dexterous Hands and Touch. IROS 2022: 10410-10416 - [i41]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 abs/2201.03916 (2022) - [i40]Nathan O. Lambert, Kristofer S. J. Pister, Roberto Calandra:
Investigating Compounding Prediction Errors in Learned Dynamics Models. CoRR abs/2203.09637 (2022) - [i39]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 abs/2209.13042 (2022) - [i38]Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik:
In-Hand Object Rotation via Rapid Motor Adaptation. CoRR abs/2210.04887 (2022) - 2021
- [j9]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): 1471-1478 (2021) - [j8]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): 2682-2689 (2021) - [c30]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: 4015-4023 - [c29]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: 2880-2887 - [c28]Amy Zhang, Rowan Thomas McAllister, Roberto Calandra, Yarin Gal, Sergey Levine:
Learning Invariant Representations for Reinforcement Learning without Reconstruction. ICLR 2021 - [c27]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: 13208-13214 - [c26]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: 16064-16078 - [i37]Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau:
Model-Invariant State Abstractions for Model-Based Reinforcement Learning. CoRR abs/2102.09850 (2021) - [i36]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 abs/2102.13651 (2021) - [i35]Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra:
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning. CoRR abs/2104.10159 (2021) - [i34]Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
PyTouch: A Machine Learning Library for Touch Processing. CoRR abs/2105.12791 (2021) - [i33]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
Towards Learning to Play Piano with Dexterous Hands and Touch. CoRR abs/2106.02040 (2021) - [i32]Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal:
Active 3D Shape Reconstruction from Vision and Touch. CoRR abs/2107.09584 (2021) - [i31]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 abs/2111.02371 (2021) - 2020
- [j7]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): 3838-3845 (2020) - [c25]Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach:
Adversarial Continual Learning. ECCV (11) 2020: 386-402 - [c24]Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai:
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. ICRA 2020: 413-419 - [c23]Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine:
OmniTact: A Multi-Directional High-Resolution Touch Sensor. ICRA 2020: 618-624 - [c22]Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra:
Objective Mismatch in Model-based Reinforcement Learning. L4DC 2020: 761-770 - [c21]Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra:
Plan2Vec: Unsupervised Representation Learning by Latent Plans. L4DC 2020: 935-946 - [c20]Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal:
Active MR k-space Sampling with Reinforcement Learning. MICCAI (2) 2020: 23-33 - [c19]Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy:
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. NeurIPS 2020 - [c18]Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. NeurIPS 2020 - [e1]Silvia Chiappa, Roberto Calandra:
The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]. Proceedings of Machine Learning Research 108, PMLR 2020 [contents] - [i30]Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy:
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. CoRR abs/2001.11659 (2020) - [i29]Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra:
Objective Mismatch in Model-based Reinforcement Learning. CoRR abs/2002.04523 (2020) - [i28]Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine:
OmniTact: A Multi-Directional High Resolution Touch Sensor. CoRR abs/2003.06965 (2020) - [i27]Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach:
Adversarial Continual Learning. CoRR abs/2003.09553 (2020) - [i26]Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine:
Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads. CoRR abs/2004.11345 (2020) - [i25]Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra:
Plan2Vec: Unsupervised Representation Learning by Latent Plans. CoRR abs/2005.03648 (2020) - [i24]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 abs/2005.14679 (2020) - [i23]Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters:
Learning to Play Table Tennis From Scratch using Muscular Robots. CoRR abs/2006.05935 (2020) - [i22]Amy Zhang, Rowan McAllister, Roberto Calandra, Yarin Gal, Sergey Levine:
Learning Invariant Representations for Reinforcement Learning without Reconstruction. CoRR abs/2006.10742 (2020) - [i21]Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. CoRR abs/2007.03778 (2020) - [i20]Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal:
Active MR k-space Sampling with Reinforcement Learning. CoRR abs/2007.10469 (2020) - [i19]Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai:
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. CoRR abs/2008.11867 (2020) - [i18]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 abs/2012.08456 (2020) - [i17]Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra:
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. CoRR abs/2012.09156 (2020)
2010 – 2019
- 2019
- [j6]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): 4224-4230 (2019) - [j5]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): 727-739 (2019) - [c17]Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra:
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. CoRL 2019: 854-869 - [c16]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: 818-824 - [c15]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: 2488-2494 - [c14]Justin Lin, Roberto Calandra, Sergey Levine:
Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. ICRA 2019: 3644-3650 - [i16]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 abs/1901.03737 (2019) - [i15]Vicenc Rubies-Royo, Roberto Calandra, Dusan M. Stipanovic, Claire J. Tomlin:
Fast Neural Network Verification via Shadow Prices. CoRR abs/1902.07247 (2019) - [i14]Justin Lin, Roberto Calandra, Sergey Levine:
Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. CoRR abs/1903.03591 (2019) - [i13]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 abs/1903.04128 (2019) - [i12]Dieter Büchler, Roberto Calandra, Jan Peters:
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. CoRR abs/1904.03665 (2019) - [i11]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 abs/1905.01334 (2019) - [i10]Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai:
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. CoRR abs/1909.12324 (2019) - [i9]Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra:
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. CoRR abs/1911.06832 (2019) - 2018
- [j4]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): 1904-1911 (2018) - [j3]Dieter Buchler, Roberto Calandra, Bernhard Schölkopf, Jan Peters:
Control of Musculoskeletal Systems Using Learned Dynamics Models. IEEE Robotics Autom. Lett. 3(4): 3161-3168 (2018) - [j2]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): 3300-3307 (2018) - [c13]Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine:
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. NeurIPS 2018: 4759-4770 - [i8]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 abs/1803.00196 (2018) - [i7]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 abs/1805.11085 (2018) - [i6]Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine:
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. CoRR abs/1805.12114 (2018) - 2017
- [b1]Roberto Calandra:
Bayesian Modeling for Optimization and Control in Robotics. Darmstadt University of Technology, Germany, 2017 - [c12]Somil Bansal, Roberto Calandra, Ted Xiao, Sergey Levine, Claire J. Tomlin:
Goal-driven dynamics learning via Bayesian optimization. CDC 2017: 5168-5173 - [c11]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: 314-323 - [i5]Somil Bansal, Roberto Calandra, Ted Xiao, Sergey Levine, Claire J. Tomlin:
Goal-Driven Dynamics Learning via Bayesian Optimization. CoRR abs/1703.09260 (2017) - [i4]Somil Bansal, Roberto Calandra, Sergey Levine, Claire J. Tomlin:
MBMF: Model-Based Priors for Model-Free Reinforcement Learning. CoRR abs/1709.03153 (2017) - [i3]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 abs/1710.05512 (2017) - 2016
- [j1]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): 5-23 (2016) - [c10]Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth:
Manifold Gaussian Processes for regression. IJCNN 2016: 3338-3345 - [c9]Zhengkun Yi, Roberto Calandra, Filipe Veiga, Herke van Hoof, Tucker Hermans, Yilei Zhang, Jan Peters:
Active tactile object exploration with Gaussian processes. IROS 2016: 4925-4930 - [c8]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: 99-104 - 2015
- [c7]Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Jan Peters:
Learning torque control in presence of contacts using tactile sensing from robot skin. Humanoids 2015: 690-695 - [c6]Lars Fritsche, Felix Unverzag, Jan Peters, Roberto Calandra:
First-person tele-operation of a humanoid robot. Humanoids 2015: 997-1002 - [c5]Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Elmar Rueckert, Jan Peters:
Learning inverse dynamics models with contacts. ICRA 2015: 3186-3191 - [i2]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 abs/1510.03253 (2015) - 2014
- [c4]Roberto Calandra, André Seyfarth, Jan Peters, Marc Peter Deisenroth:
An experimental comparison of Bayesian optimization for bipedal locomotion. ICRA 2014: 1951-1958 - [c3]Roberto Calandra, Nakul Gopalan, André Seyfarth, Jan Peters, Marc Peter Deisenroth:
Bayesian Gait Optimization for Bipedal Locomotion. LION 2014: 274-290 - [i1]Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth:
Manifold Gaussian Processes for Regression. CoRR abs/1402.5876 (2014) - 2012
- [c2]Roberto Calandra, Tapani Raiko, Marc Peter Deisenroth, Federico Montesino-Pouzols:
Learning Deep Belief Networks from Non-stationary Streams. ICANN (2) 2012: 379-386 - [c1]Marc Peter Deisenroth, Roberto Calandra, André Seyfarth, Jan Peters:
Toward fast policy search for learning legged locomotion. IROS 2012: 1787-1792
Coauthor Index
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