Calandra, Roberto

20 publications

ICLRW 2025 ManiSkill3: GPU Parallelized Robot 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, Tongzhou Mu, Nan Xiao, Arnav Gurha, Viswesh N, Yong Woo Choi, Yen-Ru Chen, Zhiao Huang, Roberto Calandra, Rui Chen, Shan Luo, Hao Su

ICML 2024 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

TMLR 2024 A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning Ran Wei, Nathan Lambert, Anthony D McDonald, Alfredo Garcia, Roberto Calandra

NeurIPSW 2024 Aligning Touch, Vision, and Language for Multimodal Perception Letian Fu, Gaurav Datta, Huang Huang, William Chung-Ho Panitch, Jaimyn Drake, Joseph Ortiz, Mustafa Mukadam, Mike Lambeta, Roberto Calandra, Ken Goldberg

NeurIPSW 2024 Enhance Vision-Based Tactile Sensors via Dynamic Illumination and Image Fusion Artemii Redkin, Zdravko Dugonjic, Mike Lambeta, Roberto Calandra

CoRL 2023 General In-Hand Object Rotation with Vision and Touch Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik

JAIR 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

CoRL 2022 In-Hand Object Rotation via Rapid Motor Adaptation Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik

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

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

ICLR 2021 Learning Invariant Representations for Reinforcement Learning Without Reconstruction Amy Zhang, Rowan Thomas McAllister, Roberto Calandra, Yarin Gal, Sergey Levine

NeurIPS 2020 3D Shape Reconstruction from Vision and Touch Edward Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal

ECCV 2020 Adversarial Continual Learning Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

ICLR 2020 Objective Mismatch in Model-Based Reinforcement Learning Nathan Lambert, Brandon Amos, Omry Yadan, Roberto Calandra

L4DC 2020 Objective Mismatch in Model-Based Reinforcement Learning Nathan Lambert, Brandon Amos, Omry Yadan, Roberto Calandra

L4DC 2020 Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang, Amy Zhang, Ari Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra

NeurIPS 2020 Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Ben Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy

CoRL 2019 Data-Efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra

NeurIPS 2018 Deep Reinforcement Learning in a Handful of Trials Using Probabilistic Dynamics Models Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine

CoRL 2017 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