Roberto Martin Martin

According to our database, Roberto Martin Martin authored at least 97 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Launching Queer in Robotics [Women in Engineering].

Raj Korpan, Ruchira Ray, Andrea Sipos, Nathan Dennler, Max Parks, Maria E. Cabrera, Roberto Martín-Martín

IEEE Robotics Autom. Mag., June, 2024

Direct High-Frequency Modulation of a Quantum Cascade Laser for High-Sensitivity Molecular Dispersion Spectroscopy at Ambient Pressure.

Oscar E. Bonilla-Manrique, Aldo Moreno-Oyervides, Roberto Martin Martin, Etienne Giraud, Johannes Paul Waclawek, Harald Moser, Bernhard Lendl, Pedro Martín-Mateos

IEEE Trans. Instrum. Meas., 2024

Learning to Look: Seeking Information for Decision Making via Policy Factorization.

Shivin Dass, Jiaheng Hu, Ben Abbatematteo, Peter Stone, Roberto Martín-Martín

CoRR, 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

CoRR, 2024

Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning.

Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín

CoRR, 2024

BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation.

Rutav Shah, Albert Yu, Yifeng Zhu, Yuke Zhu, Roberto Martín-Martín

CoRR, 2024

FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning.

Jiaheng Hu, Rose Hendrix, Ali Farhadi, Aniruddha Kembhavi, Roberto Martin Martin, Peter Stone, Kuo-Hao Zeng, Kiana Ehsani

CoRR, 2024

KinScene: Model-Based Mobile Manipulation of Articulated Scenes.

Cheng-Chun Hsu, Ben Abbatematteo, Zhenyu Jiang, Yuke Zhu, Roberto Martín-Martín, Joydeep Biswas

CoRR, 2024

Beyond Shortsighted Navigation: Merging Best View Trajectory Planning with Robot Navigation.

Srinath Tankasala, Roberto Martín-Martín, Mitch Pryor

CoRR, 2024

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes.

Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone

CoRR, 2024

Natural Language Can Help Bridge the Sim2Real Gap.

Albert Yu, Adeline Foote, Raymond Mooney, Roberto Martín-Martín

CoRR, 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

CoRR, 2024

ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection.

Arpit Bahety, Priyanka Mandikal, Ben Abbatematteo, Roberto Martín-Martín

CoRR, 2024

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark 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, Wensi Ai, Benjamin Jose Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

CoRR, 2024

TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation.

Shivin Dass, Wensi Ai, Yuqian Jiang, Samik Singh, Jiaheng Hu, Ruohan Zhang, Peter Stone, Ben Abbatematteo, Roberto Martín-Martín

CoRR, 2024

Hierarchical Point Attention for Indoor 3D Object Detection.

Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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 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 Schölkopf, 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 Büchler, 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 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, João Silvério, 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 Sünderhauf, 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 Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Model-Based Runtime Monitoring with Interactive Imitation Learning.

Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments.

Roberto Martín-Martín, Mihir Patel, Hamid Rezatofighi, Abhijeet Shenoi, JunYoung Gwak, Eric Frankel, Amir Sadeghian, Silvio Savarese

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

BaRiFlex: A Robotic Gripper with Versatility and Collision Robustness for Robot Learning.

Gu-Cheol Jeong, Arpit Bahety, Gabriel Pedraza, Ashish D. Deshpande, Roberto Martín-Martín

CoRR, 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

CoRR, 2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.

Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin

CoRR, 2023

ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding.

Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

CoRR, 2023

Model-Agnostic Hierarchical Attention for 3D Object Detection.

Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu

CoRR, 2023

Causal Policy Gradient for Whole-Body Mobile Manipulation.

Jiaheng Hu, Peter Stone, Roberto Martín-Martín

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

ELDEN: Exploration via Local Dependencies.

Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain Transfer.

Bohan Wu, Roberto Martín-Martín, Li Fei-Fei

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Task-Driven Graph Attention for Hierarchical Relational Object Navigation.

Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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 Martín-Martín

Proceedings of the International Conference on Machine Learning, 2023

MaskViT: Masked Visual Pre-Training for Video Prediction.

Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Procedure-Aware Pretraining for Instructional Video Understanding.

Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MUTEX: Learning Unified Policies from Multimodal Task Specifications.

Rutav Shah, Roberto Martín-Martín, Yuke Zhu

Proceedings of the Conference on Robot Learning, 2023

2022

Coupled recursive estimation for online interactive perception of articulated objects.

Roberto Martín-Martín, Oliver Brock

Int. J. Robotics Res., 2022

ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding.

Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

CoRR, 2022

Retrospectives on the Embodied AI Workshop.

Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu

CoRR, 2022

BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents.

Ziang Liu, Roberto Martín-Martín, Fei Xia, Jiajun Wu, Li Fei-Fei

CoRR, 2022

Generating Procedural 3D materials from Images using Neural Networks.

Lyne P. Tchapmi, Trishiet Ray, Micael Tchapmi, Bokui Shen, Roberto Martin Martin, Silvio Savarese

Proceedings of the IVSP 2022: 4th International Conference on Image, Video and Signal Processing, Singapore, March 18, 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

Proceedings of the Conference on Robot Learning, 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, C. Karen Liu, Jiajun Wu, Li Fei-Fei

Proceedings of the Conference on Robot Learning, 2022

2021

Correction to: Four aspects of building robotic systems: lessons from the Amazon Picking Challenge 2015.

Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock

Auton. Robots, 2021

Differentiable Factor Graph Optimization for Learning Smoothers.

Brent Yi, Michelle A. Lee, Alina Kloss, Roberto Martín-Martín, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes.

Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Probabilistic Visual Navigation with Bidirectional Image Prediction.

Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martín-Martín, Kosuke Tahara, Masanori Ishigaki, Silvio Savarese

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Affordance Foresight: Planning Through What Can Be Done in the Future.

Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation.

Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Multi-Arm Manipulation Through Collaborative Teleoperation.

Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning.

Claudia Pérez-D'Arpino, Can Liu, Patrick Goebel, Roberto Martín-Martín, Silvio Savarese

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search.

Andrey Kurenkov, Roberto Martín-Martín, Jeffrey Ichnowski, Ken Goldberg, Silvio Savarese

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

LASER: Learning a Latent Action Space for Efficient Reinforcement Learning.

Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction.

Bohan Wu, Suraj Nair, Roberto Martín-Martín, Li Fei-Fei, Chelsea Finn

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 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, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 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

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 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, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments.

Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese

IEEE Robotics Autom. Lett., 2020

Improving Social Awareness Through DANTE: Deep Affinity Network for Clustering Conversational Interactants.

Mason Swofford, John Peruzzi, Nathan Tsoi, Sydney Thompson, Roberto Martín-Martín, Silvio Savarese, Marynel Vázquez

Proc. ACM Hum. Comput. Interact., 2020

Human-in-the-Loop Imitation Learning using Remote Teleoperation.

Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese

CoRR, 2020

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes.

Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese

CoRR, 2020

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín

CoRR, 2020

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation.

Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese

CoRR, 2020

Probabilistic Visual Navigation with Bidirectional Image Prediction.

Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martín-Martín, Yasumasa Tahara, Masanori Ishigaki, Silvio Savarese

CoRR, 2020

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations.

Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei

CoRR, 2020

Leveraging Pretrained Image Classifiers for Language-Based Segmentation.

David Golub, Ahmed El-Kishky, Roberto Martín-Martín

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations.

Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei

Proceedings of the Robotics: Science and Systems XVI, 2020

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 Martín-Martín, Silvio Savarese

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multimodal Sensor Fusion with Differentiable Filters.

Michelle A. Lee, Brent Yi, Roberto Martín-Martín, Silvio Savarese, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter.

Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, Marcus Dominguez-Kuhne, Animesh Garg, Roberto Martín-Martín, Silvio Savarese

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints.

Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Deep Visual MPC-Policy Learning for Navigation.

Noriaki Hirose, Fei Xia, Roberto Martín-Martín, Amir Sadeghian, Silvio Savarese

IEEE Robotics Autom. Lett., 2019

VUNet: Dynamic Scene View Synthesis for Traversability Estimation Using an RGB Camera.

Noriaki Hirose, Amir Sadeghian, Fei Xia, Roberto Martín-Martín, Silvio Savarese

IEEE Robotics Autom. Lett., 2019

The RBO dataset of articulated objects and interactions.

Roberto Martín-Martín, Clemens Eppner, Oliver Brock

Int. J. Robotics Res., 2019

Leveraging Pretrained Image Classifiers for Language-Based Segmentation.

David Golub, Roberto Martín-Martín, Ahmed El-Kishky, Silvio Savarese

CoRR, 2019

Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments.

Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese

CoRR, 2019

JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments.

Roberto Martín-Martín, Hamid Rezatofighi, Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Nathan Dass, Alan Federman, Patrick Goebel, Silvio Savarese

CoRR, 2019

DANTE: Deep Affinity Network for Clustering Conversational Interactants.

Mason Swofford, John Charles Peruzzi, Marynel Vázquez, Roberto Martín-Martín, Silvio Savarese

CoRR, 2019

Regression Planning Networks.

Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks.

Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian D. Reid, Hamid Rezatofighi, Silvio Savarese

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks.

Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Deep Local Trajectory Replanning and Control for Robot Navigation.

Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese, Marynel Vázquez

Proceedings of the International Conference on Robotics and Automation, 2019

Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter.

Michael Danielczuk, Andrey Kurenkov, Ashwin Balakrishna, Matthew Matl, David Wang, Roberto Martín-Martín, Animesh Garg, Silvio Savarese, Ken Goldberg

Proceedings of the International Conference on Robotics and Automation, 2019

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion.

Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators.

Chengshu Li, Fei Xia, Roberto Martín-Martín, Silvio Savarese

Proceedings of the 3rd Annual Conference on Robot Learning, 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

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Leveraging problem structure in interactive perception for robot manipulation of constrained mechanisms (Über die Ausnutzung der Problemstruktur in interaktiver Wahrnehmung zur robotischen Manipulation von artikulierten Objekten)

Roberto Martín-Martín

PhD thesis, 2018

Four aspects of building robotic systems: lessons from the Amazon Picking Challenge 2015.

Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock

Auton. Robots, 2018

Physics-Based Selection of Informative Actions for Interactive Perception.

Clemens Eppner, Roberto Martín-Martín, Oliver Brock

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Cross-modal interpretation of multi-modal sensor streams in interactive perception based on coupled recursion.

Roberto Martín-Martín, Oliver Brock

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Opening a lockbox through physical exploration.

Manuel Baum, Matthew Bernstein, Roberto Martín-Martín, Sebastian Höfer, Johannes Kulick, Marc Toussaint, Alex Kacelnik, Oliver Brock

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Building Kinematic and Dynamic Models of Articulated Objects with Multi-Modal Interactive Perception.

Roberto Martín-Martín, Oliver Brock

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Probabilistic multi-class segmentation for the Amazon Picking Challenge.

Rico Jonschkowski, Clemens Eppner, Sebastian Höfer, Roberto Martin Martin, Oliver Brock

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

An integrated approach to visual perception of articulated objects.

Roberto Martin Martin, Sebastian Höfer, Oliver Brock

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2014

Deterioration of depth measurements due to interference of multiple RGB-D sensors.

Roberto Martin Martin, Malte Lorbach, Oliver Brock

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Online interactive perception of articulated objects with multi-level recursive estimation based on task-specific priors.

Roberto Martin Martin, Oliver Brock

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014