RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)

Pomerleau, D.A.: Alvinn: An autonomous land vehicle in a neural network. In: Advances in neural information processing systems. pp. 305–313 (1989)

1989

Earlier work this paper cites.

Mandlekar, A., Xu, D., Martín-Martín, R., Zhu, Y., Fei-Fei, L., Savarese, S.: Human-in-the-loop imitation learning using remote teleoperation (2020). https://doi.org/10.48550/ARXIV.2012.06733, https://arxiv.org/abs/2012.06733

Original

2012

Earlier work this paper cites.

Sohn, K., Lee, H., Yan, X.: Learning structured output representation using deep conditional generative models. Advances in neural information processing systems 28

2015

Earlier work this paper cites.

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I.: Attention is all you need. In: Advances in Neural Information Processing Systems (2017)

2017

Earlier work this paper cites.

Mandlekar, A., Zhu, Y., Garg, A., Booher, J., Spero, M., Tung, A., Gao, J., Emmons, J., Gupta, A., Orbay, E., Savarese, S., Fei-Fei, L.: Roboturk: A crowdsourcing platform for robotic skill learning through imitation. In: Conference on Robot Learning (2018)

2018

Earlier work this paper cites.

Sharma, P., Mohan, L., Pinto, L., Gupta, A.: Multiple interactions made easy (mime): Large scale demonstrations data for imitation. In: Conference on robot learning. pp. 906–915. PMLR (2018)

2018

Earlier work this paper cites.

Zhang, T., McCarthy, Z., Jow, O., Lee, D., Chen, X., Goldberg, K., Abbeel, P.: Deep imitation learning for complex manipulation tasks from virtual reality teleoperation. In: IEEE International Conference on Robotics and Automation (ICRA) (2018)

2018

Earlier work this paper cites.

Mandlekar, A., Booher, J., Spero, M., Tung, A., Gupta, A., Zhu, Y., Garg, A., Savarese, S., Fei-Fei, L.: Scaling robot supervision to hundreds of hours with roboturk: Robotic manipulation dataset through human reasoning and dexterity. arXiv preprint arXiv:1911.04052 (2019)

Original

2019

Earlier work this paper cites.

James, S., Ma, Z., Arrojo, D.R., Davison, A.J.: Rlbench: The robot learning benchmark & learning environment. IEEE Robotics and Automation Letters 5

2020

Earlier work this paper cites.

Levine, S., Kumar, A., Tucker, G., Fu, J.: Offline reinforcement learning: Tutorial, review, and perspectives on open problems. arXiv preprint arXiv:2005.01643 (2020)

Original

2020

Earlier work this paper cites.

Mandlekar, A., Xu, D., Martín-Martín, R., Savarese, S., Fei-Fei, L.: Learning to generalize across long-horizon tasks from human demonstrations. In: Robotics: Science and Systems (RSS) (2020)

2020

Earlier work this paper cites.

Zeng, A., Florence, P., Tompson, J., Welker, S., Chien, J., Attarian, M., Armstrong, T., Krasin, I., Duong, D., Sindhwani, V., Lee, J.: Transporter networks: Rearranging the visual world for robotic manipulation. In: Conference on Robot Learning (2020)

2020

Earlier work this paper cites.

Ebert, F., Yang, Y., Schmeckpeper, K., Bucher, B., Georgakis, G., Daniilidis, K., Finn, C., Levine, S.: Bridge data: Boosting generalization of robotic skills with cross-domain datasets. arXiv preprint arXiv:2109.13396 (2021)

Original

2021

Cited alongside, same era.

Jang, E., Irpan, A., Khansari, M., Kappler, D., Ebert, F., Lynch, C., Levine, S., Finn, C.: Bc-z: Zero-shot task generalization with robotic imitation learning. In: Conference on Robot Learning (2021)

2021

Cited alongside, same era.

Kalashnikov, D., Varley, J., Chebotar, Y., Swanson, B., Jonschkowski, R., Finn, C., Levine, S., Hausman, K.: Mt-opt: Continuous multi-task robotic reinforcement learning at scale. arXiv preprint arXiv:2104.08212 (2021)

Original

2021

Cited alongside, same era.

Kumar, A., Singh, A., Tian, S., Finn, C., Levine, S.: A workflow for offline model-free robotic reinforcement learning. arXiv preprint arXiv:2109.10813 (2021)

Original

2021

Cited alongside, same era.

Chebotar, Y., Vuong, Q., Hausman, K., Xia, F., Lu, Y., Irpan, A., Kumar, A., Yu, T., Herzog, A., Pertsch, K., et al.: Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions. In: Conference on Robot Learning. pp. 3909–3928. PMLR (2023)

2023

Later among the works it cites.

Chi, C., Feng, S., Du, Y., Xu, Z., Cousineau, E., Burchfiel, B., Song, S.: Diffusion policy: Visuomotor policy learning via action diffusion. arXiv preprint arXiv:2303.04137 (2023)

Original

2023

Later among the works it cites.

Dalal, M., Mandlekar, A., Garrett, C., Handa, A., Salakhutdinov, R., Fox, D.: Imitating task and motion planning with visuomotor transformers. arXiv preprint arXiv:2305.16309 (2023)

Original

2023

Later among the works it cites.

Gu, J., Xiang, F., Li, X., Ling, Z., Liu, X., Mu, T., Tang, Y., Tao, S., Wei, X., Yao, Y., et al.: Maniskill2: A unified benchmark for generalizable manipulation skills. arXiv preprint arXiv:2302.04659 (2023)

Original

2023