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Leveraging sensing modalities across diverse spatial and temporal resolutions can improve performance of robotic manipulation tasks.
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Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation
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Progprompt: Generating situated robot task plans using large language models
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S. James, Z. Ma, D. R. Arrojo, and A. J. Davison · 2020
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Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning
T. Yu, D. Quillen, Z. He, R. Julian, K. Hausman, C. Finn, and S. Levine · 2020
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A modular robotic arm control stack for research: Franka-interface and frankapy
K. Zhang, M. Sharma, J. Liang, and O. Kroemer · 2020
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Learning transferable visual models from natural language supervision
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Align before fuse: Vision and language representation learning with momentum distillation
J. Li, R. Selvaraju, A. Gotmare, S. Joty, C. Xiong, and S. C. H. Hoi · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision
C. Jia, Y. Yang, Y. Xia, Y.-T. Chen, Z. Parekh, H. Pham, Q. Le, Y.-H. Sung, Z. Li, and T. Duerig · 2021
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Beyond pick-and-place: Tackling robotic stacking of diverse shapes
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I. Singh, V. Blukis, A. Mousavian, A. Goyal, D. Xu, J. Tremblay, D. Fox, J. Thomason, and A. Garg · 2022
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Do as i can and not as i say: Grounding language in robotic affordances
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Clip on wheels: Zero-shot object navigation as object localization and exploration
S. Y. Gadre, M. Wortsman, G. Ilharco, L. Schmidt, and S. Song · 2022
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Code as policies: Language model programs for embodied control
J. Liang, W. Huang, F. Xia, P. Xu, K. Hausman, B. Ichter, P. Florence, and A. Zeng · 2022
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Flava: A foundational language and vision alignment model
A. Singh, R. Hu, V. Goswami, G. Couairon, W. Galuba, M. Rohrbach, and D. Kiela · 2022
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R3m: A universal visual representation for robot manipulation
S. Nair, A. Rajeswaran, V. Kumar, C. Finn, and A. Gupta · 2022
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The unsurprising effectiveness of pre-trained vision models for control
S. Parisi, A. Rajeswaran, S. Purushwalkam, and A. Gupta · 2022
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Vlmbench: A compositional benchmark for vision-and-language manipulation
K. Zheng, X. Chen, O. C. Jenkins, and X. E. Wang · 2022
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Robotic skill acquisition via instruction augmentation with vision-language models
T. Xiao, H. Chan, P. Sermanet, A. Wahid, A. Brohan, K. Hausman, S. Levine, and J. Tompson · 2022
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Multiscale sensor fusion and continuous control with neural cdes
S. Singh, F. M. Ramirez, J. Varley, A. Zeng, and V. Sindhwani · 2022
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Y. Zhou, S. Sonawani, M. Phielipp, S. Stepputtis, and H. B. Amor · 2022
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Google scanned objects: A high-quality dataset of 3d scanned household items
L. Downs, A. Francis, N. Koenig, B. Kinman, R. Hickman, K. Reymann, T. B. McHugh, and V. Vanhoucke · 2022
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Pybullet, a python module for physics simulation for games, robotics and machine learning
E. Coumans and Y. Bai · 2022
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Image segmentation using text and image prompts
T. Lüddecke and A. Ecker · 2022
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Text2motion: From natural language instructions to feasible plans
K. Lin, C. Agia, T. Migimatsu, M. Pavone, and J. Bohg · 2023
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Open-world object manipulation using pre-trained vision-language model
A. Stone, T. Xiao, Y. Lu, K. Gopalakrishnan, K.-H. Lee, Q. Vuong, P. Wohlhart, B. Zitkovich, F. Xia, C. Finn, and K. Hausman · 2023
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Lossless adaptation of pretrained vision models for robotic manipulation
M. Sharma, C. Fantacci, Y. Zhou, S. Koppula, N. Heess, J. Scholz, and Y. Aytar · 2023
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