Martín-Martín, Roberto

31 publications

CoRL 2025 CASPER: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models Huihan Liu, Rutav Shah, Shuijing Liu, Jack Pittenger, Mingyo Seo, Yuchen Cui, Yonatan Bisk, Roberto Martín-Martín, Yuke Zhu

CoRL 2025 COLLAGE: Adaptive Fusion-Based Retrieval for Augmented Policy Learning Sateesh Kumar, Shivin Dass, Georgios Pavlakos, Roberto Martín-Martín

AAAI 2025 Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone

CoRL 2025 RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Cyrus Neary, Edward S. Hu, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Tony Wang, Xingfang Yuan, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martín-Martín, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine

AAAI 2025 Robots Learning Through Physical Interactive Intelligence Roberto Martín-Martín

CoRL 2025 SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL Jiaheng Hu, Peter Stone, Roberto Martín-Martín

CVPR 2024 BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

NeurIPS 2024 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín

CoRL 2024 Learning to Look: Seeking Information for Decision Making via Policy Factorization Shivin Dass, Jiaheng Hu, Ben Abbatematteo, Peter Stone, Roberto Martín-Martín

NeurIPS 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions Zizhao Wang, Jiaheng Hu, Caleb Chuck, Stephen Chen, Roberto Martín-Martín, Amy Zhang, Scott Niekum, Peter Stone

CVPR 2024 ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

NeurIPS 2023 ELDEN: Exploration via Local Dependencies Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín

CoRL 2023 MUTEX: Learning Unified Policies from Multimodal Task Specifications Rutav Shah, Roberto Martín-Martín, Yuke Zhu

ICLR 2023 MaskViT: Masked Visual Pre-Training for Video Prediction Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei

NeurIPSW 2023 Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-Horizon Decision-Making in Embodied AI Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín

NeurIPSW 2023 Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-Horizon Decision-Making in Embodied AI Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín

CVPR 2023 Procedure-Aware Pretraining for Instructional Video Understanding Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles

CVPR 2023 ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

CoRL 2022 A Dual Representation Framework for Robot Learning with Human Guidance Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu

CoRL 2022 BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, Karen Liu, Jiajun Wu, Li Fei-Fei

CoRL 2021 BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei

CoRL 2021 Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín

CVPR 2021 Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu, Suraj Nair, Roberto Martin-Martin, Li Fei-Fei, Chelsea Finn

CoRL 2021 What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín

CoRL 2021 iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

WACV 2020 Leveraging Pretrained Image Classifiers for Language-Based Segmentation David Golub, Roberto Martin-Martin, Ahmed El-Kishky, Silvio Savarese

CoRL 2019 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers Andrey Kurenkov, Ajay Mandlekar, Roberto Martin-Martin, Silvio Savarese, Animesh Garg

CoRL 2019 HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators Chengshu Li, Fei Xia, Roberto Martín-Martín, Silvio Savarese

NeurIPS 2019 Regression Planning Networks Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li F Fei-Fei

NeurIPS 2019 Social-BiGAT: Multimodal Trajectory Forecasting Using Bicycle-GAN and Graph Attention Networks Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian Reid, Hamid Rezatofighi, Silvio Savarese

IJCAI 2017 Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock