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Imitation learning and world models have shown significant promise in advancing generalizable robotic learning, with robotic grasping remaining a critical challenge for achieving precise manipulation.
Multi-stage hrnet: Multiple stage high-resolution network for human pose estimation, 2019
Huang, J., Zhu, Z., and Huang, G · 1910
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Alvinn: An autonomous land vehicle in a neural network
Pomerleau, D · 1989
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You only look once: Unified, real-time object detection, 2016
Redmon, J., Divvala, S., Girshick, R., and Farhadi, A · 2016
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Mahler, J., Liang, J., Niyaz, S., Laskey, M., Doan, R., Liu, X., Ojea, J. A., and Goldberg, K · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Selvaraju, R. R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D · 2019
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A survey on Learning-Based robotic grasping
Kleeberger, K., Bormann, R., Kraus, W., and Huber, M. F · 2020
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Improved denoising diffusion probabilistic models, 2021
Nichol, A. and Dhariwal, P · 2021
Earlier work this paper cites.
Domain generalization: A survey
Zhou, K., Liu, Z., Qiao, Y., Xiang, T., and Loy, C. C · 2022
Earlier work this paper cites.
Diffusion policy: Visuomotor policy learning via action diffusion
Chi, C., Feng, S., Du, Y., Xu, Z., Cousineau, E., Burchfiel, B., and Song, S · 2023
Cited alongside, same era.
Imitating human behaviour with diffusion models, 2023
Pearce, T., Rashid, T., Kanervisto, A., Bignell, D., Sun, M., Georgescu, R., Macua, S. V., Tan, S. Z., Momennejad, I., Hofmann, K., and Devlin, S · 2023
Cited alongside, same era.
Grasp-anything: Large-scale grasp dataset from foundation models, 2023
Vuong, A. D., Vu, M. N., Le, H., Huang, B., Huynh, B., Vo, T., Kugi, A., and Nguyen, A · 2023
Cited alongside, same era.
Learning fine-grained bimanual manipulation with low-cost hardware, 2023
Zhao, T. Z., Kumar, V., Levine, S., and Finn, C · 2023
Cited alongside, same era.
π 0 \pi_{0} : A vision-language-action flow model for general robot control, 2024
Rekep: Spatio-temporal reasoning of relational keypoint constraints for robotic manipulation
Huang, W., Wang, C., Li, Y., Zhang, R., and Fei-Fei, L · 2024
Later among the works it cites.
Octo: An open-source generalist robot policy
Octo Model Team, Ghosh, D., Walke, H., Pertsch, K., Black, K., Mees, O., Dasari, S., Hejna, J., Xu, C., Luo, J., Kreiman, T., Tan, Y., Chen, L. Y., Sanketi, P., Vuong, Q., Xiao, T., Sadigh, D., Finn, C., and Levine, S · 2024
Later among the works it cites.
Sam 2: Segment anything in images and videos, 2024
Ravi, N., Gabeur, V., Hu, Y.-T., Hu, R., Ryali, C., Ma, T., Khedr, H., Rädle, R., Rolland, C., Gustafson, L., Mintun, E., Pan, J., Alwala, K. V., Carion, N., Wu, C.-Y., Girshick, R., Dollár, P., and Feichtenhofer, C · 2024
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Dino-x: A unified vision model for open-world object detection and understanding, 2024
Ren, T., Chen, Y., Jiang, Q., Zeng, Z., Xiong, Y., Liu, W., Ma, Z., Shen, J., Gao, Y., Jiang, X., Chen, X., Song, Z., Zhang, Y., Huang, H., Gao, H., Liu, S., Zhang, H., Li, F., Yu, K., and Zhang, L · 2024
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Black, K., Brown, N., Driess, D., Esmail, A., Equi, M., Finn, C., Fusai, N., Groom, L., Hausman, K., Ichter, B., Jakubczak, S., Jones, T., Ke, L., Levine, S., Li-Bell, A., Mothukuri, M., Nair, S., Pertsch, K., Shi, L. X., Tanner, J., Vuong, Q., Walling, A., Wang, H., and Zhilinsky, U · 2024
Cited alongside, same era.
Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots, 2024
Chi, C., Xu, Z., Pan, C., Cousineau, E., Burchfiel, B., Feng, S., Tedrake, R., and Song, S · 2024
Cited alongside, same era.
Open x-embodiment: Robotic learning datasets and rt-x models, 2024
Collaboration, E., O’Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., Tung, A., Bewley, A., Herzog, A., Irpan, A., Khazatsky, A., Rai, A., Gupta, A., Wang, A., Kolobov, A., Singh, A., Garg, A., Kembhavi, A., Xie, A., Brohan, A., Raffin, A., Sharma, A., Yavary, A., Jain, A., Balakrishna, A., Wahid, A., Burgess-Limerick, B., Kim, B., Schölkopf, B., Wulfe, B., Ichter, B., Lu, C., Xu, C., Le, C., Finn, C., Wang, C., Xu, C., Chi, C., Huang, C., Chan, C., Agia, C., Pan, C., Fu, C., Devin, C., Xu, D., Morton, D., Driess, D., Chen, D., Pathak, D., Shah, D., Büchler, D., Jayaraman, D., Kalashnikov, D., Sadigh, D., Johns, E., Foster, E., Liu, F., Ceola, F., Xia, F., Zhao, F., Frujeri, F. V., Stulp, F., Zhou, G., Sukhatme, G. S., Salhotra, G., Yan, G., Feng, G., Schiavi, G., Berseth, G., Kahn, G., Yang, G., Wang, G., Su, H., Fang, H.-S., Shi, H., Bao, H., Amor, H. B., Christensen, H. I., Furuta, H., Bharadhwaj, H., Walke, H., Fang, H., Ha, H., Mordatch, I., Radosavovic, I., Leal, I., Liang, J., Abou-Chakra, J., Kim, J., Drake, J., Peters, J., Schneider, J., Hsu, J., Vakil, J., Bohg, J., Bingham, J., Wu, J., Gao, J., Hu, J., Wu, J., Wu, J., Sun, J., Luo, J., Gu, J., Tan, J., Oh, J., Wu, J., Lu, J., Yang, J., Malik, J., Silvério, J., Hejna, J., Booher, J., Tompson, J., Yang, J., Salvador, J., Lim, J. J., Han, J., Wang, K., Rao, K., Pertsch, K., Hausman, K., Go, K., Gopalakrishnan, K., Goldberg, K., Byrne, K., Oslund, K., Kawaharazuka, K., Black, K., Lin, K., Zhang, K., Ehsani, K., Lekkala, K., Ellis, K., Rana, K., Srinivasan, K., Fang, K., Singh, K. P., Zeng, K.-H., Hatch, K., Hsu, K., Itti, L., Chen, L. Y., Pinto, L., Fei-Fei, L., Tan, L., Fan, L. J., Ott, L., Lee, L., Weihs, L., Chen, M., Lepert, M., Memmel, M., Tomizuka, M., Itkina, M., Castro, M. G., Spero, M., Du, M., Ahn, M., Yip, M. C., Zhang, M., Ding, M., Heo, M., Srirama, M. K., Sharma, M., Kim, M. J., Kanazawa, N., Hansen, N., Heess, N., Joshi, N. J., Suenderhauf, N., Liu, N., Palo, N. D., Shafiullah, N. M. M., Mees, O., Kroemer, O., Bastani, O., Sanketi, P. R., Miller, P. T., Yin, P., Wohlhart, P., Xu, P., Fagan, P. D., Mitrano, P., Sermanet, P., Abbeel, P., Sundaresan, P., Chen, Q., Vuong, Q., Rafailov, R., Tian, R., Doshi, R., Mart’in-Mart’in, R., Baijal, R., Scalise, R., Hendrix, R., Lin, R., Qian, R., Zhang, R., Mendonca, R., Shah, R., Hoque, R., Julian, R., Bustamante, S., Kirmani, S., Levine, S., Lin, S., Moore, S., Bahl, S., Dass, S., Sonawani, S., Tulsiani, S., Song, S., Xu, S., Haldar, S., Karamcheti, S., Adebola, S., Guist, S., Nasiriany, S., Schaal, S., Welker, S., Tian, S., Ramamoorthy, S., Dasari, S., Belkhale, S., Park, S., Nair, S., Mirchandani, S., Osa, T., Gupta, T., Harada, T., Matsushima, T., Xiao, T., Kollar, T., Yu, T., Ding, T., Davchev, T., Zhao, T. Z., Armstrong, T., Darrell, T., Chung, T., Jain, V., Kumar, V., Vanhoucke, V., Zhan, W., Zhou, W., Burgard, W., Chen, X., Chen, X., Wang, X., Zhu, X., Geng, X., Liu, X., Liangwei, X., Li, X., Pang, Y., Lu, Y., Ma, Y. J., Kim, Y., Chebotar, Y., Zhou, Y., Zhu, Y., Wu, Y., Xu, Y., Wang, Y., Bisk, Y., Dou, Y., Cho, Y., Lee, Y., Cui, Y., Cao, Y., Wu, Y.-H., Tang, Y., Zhu, Y., Zhang, Y., Jiang, Y., Li, Y., Li, Y., Iwasawa, Y., Matsuo, Y., Ma, Z., Xu, Z., Cui, Z. J., Zhang, Z., Fu, Z., and Lin, Z · 2024
Cited alongside, same era.
Motion prompting: Controlling video generation with motion trajectories, 2024
Geng, D., Herrmann, C., Hur, J., Cole, F., Zhang, S., Pfaff, T., Lopez-Guevara, T., Doersch, C., Aytar, Y., Rubinstein, M., Sun, C., Wang, O., Owens, A., and Sun, D · 2024
Cited alongside, same era.
Moka: Open-world robotic manipulation through mark-based visual prompting, 2024a
Liu, F., Fang, K., Abbeel, P., and Levine, S
Cited in the paper.
Rdt-1b: a diffusion foundation model for bimanual manipulation, 2024b
Liu, S., Wu, L., Li, B., Tan, H., Chen, H., Wang, Z., Xu, K., Su, H., and Zhu, J
Cited in the paper.
Grounding dino: Marrying dino with grounded pre-training for open-set object detection, 2024c
Liu, S., Zeng, Z., Ren, T., Li, F., Zhang, H., Yang, J., Jiang, Q., Li, C., Yang, J., Su, H., Zhu, J., and Zhang, L
Cited in the paper.
Kalie: Fine-tuning vision-language models for open-world manipulation without robot data, 2024
Tang, G., Rajkumar, S., Zhou, Y., Walke, H. R., Levine, S., and Fang, K · 2024
Later among the works it cites.
Aloha 2: An enhanced low-cost hardware for bimanual teleoperation, 2024
Team, A. ., Aldaco, J., Armstrong, T., Baruch, R., Bingham, J., Chan, S., Draper, K., Dwibedi, D., Finn, C., Florence, P., Goodrich, S., Gramlich, W., Hage, T., Herzog, A., Hoech, J., Nguyen, T., Storz, I., Tabanpour, B., Takayama, L., Tompson, J., Wahid, A., Wahrburg, T., Xu, S., Yaroshenko, S., Zakka, K., and Zhao, T. Z · 2024
Later among the works it cites.
Depth anything: Unleashing the power of large-scale unlabeled data, 2024
Yang, L., Kang, B., Huang, Z., Xu, X., Feng, J., and Zhao, H · 2024
Later among the works it cites.
3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations
Ze, Y., Zhang, G., Zhang, K., Hu, C., Wang, M., and Xu, H · 2024
Later among the works it cites.