Roberto Martín-Martín
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Densefusion: 6d object pose estimation by iterative dense fusion
C Wang, D Xu, Y Zhu, R Martín-Martín, C Lu, L Fei-Fei, S Savarese
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3343-3352, 2019
Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks
V Kosaraju, A Sadeghian, R Martín-Martín, I Reid, SH Rezatofighi, ...
Advances in Neural Information Processing Systems 2019 (NeurIPS), 2019
robosuite: A modular simulation framework and benchmark for robot learning
Y Zhu, J Wong, A Mandlekar, R Martín-Martín, A Joshi, S Nasiriany, Y Zhu
arXiv preprint arXiv:2009.12293, 2020
What matters in learning from offline human demonstrations for robot manipulation
A Mandlekar, D Xu, J Wong, S Nasiriany, C Wang, R Kulkarni, L Fei-Fei, ...
arXiv preprint arXiv:2108.03298, 2021
Lessons from the amazon picking challenge: Four aspects of building robotic systems.
C Eppner, S Höfer, R Jonschkowski, R Martín-Martín, A Sieverling, V Wall, ...
Robotics: science and systems, 4831-4835, 2016
Interactive gibson benchmark: A benchmark for interactive navigation in cluttered environments
F Xia, WB Shen, C Li, P Kasimbeg, ME Tchapmi, A Toshev, ...
IEEE Robotics and Automation Letters 5 (2), 713-720, 2020
Variable impedance control in end-effector space: An action space for reinforcement learning in contact-rich tasks
R Martín-Martín, MA Lee, R Gardner, S Savarese, J Bohg, A Garg
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2019
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
C Li, F Xia, R Martín-Martín, M Lingelbach, S Srivastava, B Shen, K Vainio, ...
Conference on Robot Learning, 455--465, 2022
6-pack: Category-level 6d pose tracker with anchor-based keypoints
C Wang, R Martín-Martín, D Xu, J Lv, C Lu, L Fei-Fei, S Savarese, Y Zhu
2020 IEEE International Conference on Robotics and Automation (ICRA), 10059 …, 2020
Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding
L Xue, M Gao, C Xing, R Martín-Martín, J Wu, C Xiong, R Xu, JC Niebles, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
iGibson 1.0, a Simulation Environment for Interactive Tasks in Large Realistic Scenes
B Shen, F Xia, C Li, R Martín-Martín, L Fan, G Wang, S Buch, C D'Arpino, ...
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
Mechanical search: Multi-step retrieval of a target object occluded by clutter
M Danielczuk, A Kurenkov, A Balakrishna, M Matl, D Wang, ...
2019 International Conference on Robotics and Automation (ICRA), 1614-1621, 2019
Jrdb: A dataset and benchmark of egocentric robot visual perception of humans in built environments
R Martin-Martin, M Patel, H Rezatofighi, A Shenoi, JY Gwak, E Frankel, ...
IEEE transactions on pattern analysis and machine intelligence 45 (6), 6748-6765, 2021
Behavior: Benchmark for everyday household activities in virtual, interactive, and ecological environments
S Srivastava, C Li, M Lingelbach, R Martín-Martín, F Xia, KE Vainio, Z Lian, ...
Conference on robot learning, 477-490, 2022
Greedy hierarchical variational autoencoders for large-scale video prediction
B Wu, S Nair, R Martin-Martin, L Fei-Fei, C Finn
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
ReLMoGen: Leveraging motion generation in reinforcement learning for mobile manipulation
F Xia, C Li, R Martín-Martín, O Litany, A Toshev, S Savarese
2021 International Conference on Robotics and Automation (ICRA), 2021
Learning to generalize across long-horizon tasks from human demonstrations
A Mandlekar, D Xu, R Martín-Martín, S Savarese, L Fei-Fei
Robotics: Science and Systems (RSS), 2020
Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation
C Li, R Zhang, J Wong, C Gokmen, S Srivastava, R Martín-Martín, C Wang, ...
Conference on Robot Learning, 80-93, 2023
Maskvit: Masked visual pre-training for video prediction
A Gupta, S Tian, Y Zhang, J Wu, R Martín-Martín, L Fei-Fei
arXiv preprint arXiv:2206.11894, 2022
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