Roberto Martn-Martn
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
47
Venues
9
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
47 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Robots Learning Through Physical Interactive Intelligence. | Roberto Martn-Martn |
| 2025 | AAAI | Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. | Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martn-Martn, Peter Stone |
| 2025 | ICRA | FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning. | Jiaheng Hu, Rose Hendrix, Ali Farhadi, Aniruddha Kembhavi, Roberto Martn-Martn, Peter Stone, Kuo-Hao Zeng, Kiana Ehsani |
| 2025 | IROS | GeT-USE: Learning Generalized Tool Usage for Bimanual Mobile Manipulation via Simulated Embodiment Extensions. | Bohan Wu, Paul de La Sayette, Li Fei-Fei, Roberto Martn-Martn |
| 2025 | ICRA | BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation. | Rutav Shah, Albert Yu, Yifeng Zhu, Yuke Zhu, Roberto Martn-Martn |
| 2024 | CoRL | Learning to Look: Seeking Information for Decision Making via Policy Factorization. | Shivin Dass, Jiaheng Hu, Ben Abbatematteo, Peter Stone, Roberto Martn-Martn |
| 2024 | CVPR | 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 Martn-Martn, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu |
| 2024 | CVPR | ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. | Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martn-Martn, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese |
| 2024 | ICRA | Model-Based Runtime Monitoring with Interactive Imitation Learning. | Huihan Liu, Shivin Dass, Roberto Martn-Martn, Yuke Zhu |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2024 | IROS | BaRiFlex: A Robotic Gripper with Versatility and Collision Robustness for Robot Learning. | Gu-Cheol Jeong, Arpit Bahety, Gabriel Pedraza, Ashish D. Deshpande, Roberto Martn-Martn |
| 2024 | ICRA | Hierarchical Point Attention for Indoor 3D Object Detection. | Manli Shu, Le Xue, Ning Yu, Roberto Martn-Martn, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu |
| 2023 | CoRL | MUTEX: Learning Unified Policies from Multimodal Task Specifications. | Rutav Shah, Roberto Martn-Martn, Yuke Zhu |
| 2023 | CVPR | ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding. | Le Xue, Mingfei Gao, Chen Xing, Roberto Martn-Martn, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese |
| 2023 | CVPR | Procedure-Aware Pretraining for Instructional Video Understanding. | Honglu Zhou, Roberto Martn-Martn, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles |
| 2023 | ICLR | MaskViT: Masked Visual Pre-Training for Video Prediction. | Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martn-Martn, Li Fei-Fei |
| 2023 | ICML | Modeling Dynamic Environments with Scene Graph Memory. | Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martn-Martn |
| 2023 | ICRA | Task-Driven Graph Attention for Hierarchical Relational Object Navigation. | Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martn-Martn, Ruohan Zhang, Li Fei-Fei, Jiajun Wu |
| 2023 | ICRA | M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain Transfer. | Bohan Wu, Roberto Martn-Martn, Li Fei-Fei |
| 2022 | CoRL | 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 Martn-Martn, 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, C. Karen Liu, Jiajun Wu, Li Fei-Fei |
| 2022 | CoRL | A Dual Representation Framework for Robot Learning with Human Guidance. | Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martn-Martn, Li Fei-Fei, Jiajun Wu |
| 2021 | CoRL | iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. | Chengshu Li, Fei Xia, Roberto Martn-Martn, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese |
| 2021 | CoRL | 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 Martn-Martn |
| 2021 | CoRL | BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. | Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martn-Martn, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei |
| 2021 | CoRL | Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. | Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martn-Martn |
| 2021 | CVPR | Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction. | Bohan Wu, Suraj Nair, Roberto Martn-Martn, Li Fei-Fei, Chelsea Finn |
| 2021 | ICRA | LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. | Arthur Allshire, Roberto Martn-Martn, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg |
| 2021 | ICRA | Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search. | Andrey Kurenkov, Roberto Martn-Martn, Jeffrey Ichnowski, Ken Goldberg, Silvio Savarese |
| 2021 | ICRA | Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning. | Claudia Prez-D'Arpino, Can Liu, Patrick Goebel, Roberto Martn-Martn, Silvio Savarese |
| 2021 | IROS | Probabilistic Visual Navigation with Bidirectional Image Prediction. | Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martn-Martn, Kosuke Tahara, Masanori Ishigaki, Silvio Savarese |
| 2021 | IROS | iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. | Bokui Shen, Fei Xia, Chengshu Li, Roberto Martn-Martn, Linxi Fan, Guanzhi Wang, Claudia Prez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese |
| 2021 | IROS | Differentiable Factor Graph Optimization for Learning Smoothers. | Brent Yi, Michelle A. Lee, Alina Kloss, Roberto Martn-Martn, Jeannette Bohg |
| 2021 | ICRA | Learning Multi-Arm Manipulation Through Collaborative Teleoperation. | Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martn-Martn, Yuke Zhu, Li Fei-Fei, Silvio Savarese |
| 2021 | ICRA | ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation. | Fei Xia, Chengshu Li, Roberto Martn-Martn, Or Litany, Alexander Toshev, Silvio Savarese |
| 2021 | ICRA | Deep Affordance Foresight: Planning Through What Can Be Done in the Future. | Danfei Xu, Ajay Mandlekar, Roberto Martn-Martn, Yuke Zhu, Silvio Savarese, Li Fei-Fei |
| 2020 | IROS | Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter. | Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, Marcus Dominguez-Kuhne, Animesh Garg, Roberto Martn-Martn, Silvio Savarese |
| 2020 | IROS | Multimodal Sensor Fusion with Differentiable Filters. | Michelle A. Lee, Brent Yi, Roberto Martn-Martn, Silvio Savarese, Jeannette Bohg |
| 2020 | IROS | JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset. | Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Patrick Goebel, Amir Sadeghian, Hamid Rezatofighi, Roberto Martn-Martn, Silvio Savarese |
| 2020 | ICRA | 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. | Chen Wang, Roberto Martn-Martn, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu |
| 2020 | WACV | Leveraging Pretrained Image Classifiers for Language-Based Segmentation. | David Golub, Ahmed El-Kishky, Roberto Martn-Martn |
| 2019 | CoRL | HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators. | Chengshu Li, Fei Xia, Roberto Martn-Martn, Silvio Savarese |
| 2019 | ICRA | Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter. | Michael Danielczuk, Andrey Kurenkov, Ashwin Balakrishna, Matthew Matl, David Wang, Roberto Martn-Martn, Animesh Garg, Silvio Savarese, Ken Goldberg |
| 2019 | ICRA | Deep Local Trajectory Replanning and Control for Robot Navigation. | Ashwini Pokle, Roberto Martn-Martn, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese, Marynel Vzquez |
| 2019 | IROS | Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks. | Roberto Martn-Martn, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg |
| 2018 | ICRA | Physics-Based Selection of Informative Actions for Interactive Perception. | Clemens Eppner, Roberto Martn-Martn, Oliver Brock |
| 2017 | IJCAI | Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems. | Clemens Eppner, Sebastian Hfer, Rico Jonschkowski, Roberto Martn-Martn, Arne Sieverling, Vincent Wall, Oliver Brock |
| 2017 | IROS | Cross-modal interpretation of multi-modal sensor streams in interactive perception based on coupled recursion. | Roberto Martn-Martn, Oliver Brock |