Roberto Calandra
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
12
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICRA | From Simple to Complex Skills: The Case of In-Hand Object Reorientation. | Haozhi Qi, Brent Yi, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik |
| 2025 | IROS | Learning Gentle Grasping Using Vision, Sound, and Touch. | Ken Nakahara, Roberto Calandra |
| 2025 | RO-MAN | Learning Dexterous Object Handover. | Daniel Frau-Alfaro, Julio Castao-Amoros, Santiago T. Puente, Pablo Gil, Roberto Calandra |
| 2025 | RO-MAN | Effective Explanations for Belief-Desire-Intention Robots: When and What to Explain. | Cong Wang, Roberto Calandra, Verena Kls |
| 2024 | ICML | 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 |
| 2023 | CoRL | General In-hand Object Rotation with Vision and Touch. | Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik |
| 2023 | ICMLA | 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 |
| 2022 | CoRL | In-Hand Object Rotation via Rapid Motor Adaptation. | Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik |
| 2022 | IROS | Towards Learning to Play Piano with Dexterous Hands and Touch. | Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra |
| 2021 | AISTATS | On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. | Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, Andr Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra |
| 2021 | ICLR | Learning Invariant Representations for Reinforcement Learning without Reconstruction. | Amy Zhang, Rowan Thomas McAllister, Roberto Calandra, Yarin Gal, Sergey Levine |
| 2021 | ICRA | PyTouch: A Machine Learning Library for Touch Processing. | Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra |
| 2020 | ECCV | Adversarial Continual Learning. | Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach |
| 2020 | ICRA | Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. | Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai |
| 2020 | ICRA | OmniTact: A Multi-Directional High-Resolution Touch Sensor. | Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine |
| 2020 | MICCAI | Active MR k-space Sampling with Reinforcement Learning. | Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal |
| 2019 | CoRL | Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. | Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra |
| 2019 | ICRA | 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 |
| 2019 | ICRA | Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. | Justin Lin, Roberto Calandra, Sergey Levine |
| 2019 | ICRA | Manipulation by Feel: Touch-Based Control with Deep Predictive Models. | Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine |
| 2017 | CoRL | The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? | Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin, Edward H. Adelson, Sergey Levine |
| 2016 | IJCNN | Manifold Gaussian Processes for regression. | Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth |
| 2016 | IROS | Active tactile object exploration with Gaussian processes. | Zhengkun Yi, Roberto Calandra, Filipe Veiga, Herke van Hoof, Tucker Hermans, Yilei Zhang, Jan Peters |
| 2016 | RO-MAN | 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, Philipp Beckerle |
| 2015 | ICRA | Learning inverse dynamics models with contacts. | Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Elmar Rueckert, Jan Peters |
| 2014 | ICRA | An experimental comparison of Bayesian optimization for bipedal locomotion. | Roberto Calandra, Andr Seyfarth, Jan Peters, Marc Peter Deisenroth |
| 2012 | ICANN | Learning Deep Belief Networks from Non-stationary Streams. | Roberto Calandra, Tapani Raiko, Marc Peter Deisenroth, Federico Montesino-Pouzols |
| 2012 | IROS | Toward fast policy search for learning legged locomotion. | Marc Peter Deisenroth, Roberto Calandra, Andr Seyfarth, Jan Peters |