Fetching the paper…
Reading the bibliography…
Robotics has long been a field riddled with complex systems architectures whose modules and connections, whether traditional or learning-based, require significant human expertise and prior knowledge.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in
2016
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,”
2017
Earlier work this paper cites.
C. R. Qi, H. Su, K. Mo, and L. J. Guibas, “Pointnet: Deep learning on point sets for 3d classification and segmentation,” in
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
E. Kaufmann, A. Loquercio, R. Ranftl, A. Dosovitskiy, V. Koltun, and D. Scaramuzza, “Deep drone racing: Learning agile flight in dynamic environments,” in
2018
Earlier work this paper cites.
P. Anderson, Q. Wu, D. Teney, J. Bruce, M. Johnson, N. Sünderhauf, I. Reid, S. Gould, and A. van den Hengel, “Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments,” in
2018
Earlier work this paper cites.
2019
Earlier work this paper cites.
J. Lu, D. Batra, D. Parikh, and S. Lee, “Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,”
2019
Earlier work this paper cites.
Q. Li, S. Chen, C. Wang, X. Li, C. Wen, M. Cheng, and J. Li, “Lo-net: Deep real-time lidar odometry,” in
2019
Earlier work this paper cites.
C. Sun, A. Myers, C. Vondrick, K. Murphy, and C. Schmid, “Videobert: A joint model for video and language representation learning,” in
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
C.-Y. Ma, Z. Wu, G. AlRegib, C. Xiong, and Z. Kira, “The regretful agent: Heuristic-aided navigation through progress estimation,” in
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
M. Savva, A. Kadian, O. Maksymets, Y. Zhao, E. Wijmans, B. Jain, J. Straub, J. Liu, V. Koltun, J. Malik, D. Parikh, and D. Batra, “Habitat: A Platform for Embodied AI Research,” in
2019
Earlier work this paper cites.
K. He, R. Girshick, and P. Dollár, “Rethinking imagenet pre-training,” in
2019
Cited alongside, same era.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell
2020
Cited alongside, same era.
2020
Cited alongside, same era.
L. Zhou, H. Palangi, L. Zhang, H. Hu, J. Corso, and J. Gao, “Unified vision-language pre-training for image captioning and vqa,” in
2020
Cited alongside, same era.
W. Hao, C. Li, X. Li, L. Carin, and J. Gao, “Towards learning a generic agent for vision-and-language navigation via pre-training,” in
2020
Cited alongside, same era.
F. Giuliari, I. Hasan, M. Cristani, and F. Galasso, “Transformer networks for trajectory forecasting,” in
2021
Later among the works it cites.
D. S. Chaplot, D. Pathak, and J. Malik, “Differentiable spatial planning using transformers,” in
2021
Later among the works it cites.
L. Chen, K. Lu, A. Rajeswaran, K. Lee, A. Grover, M. Laskin, P. Abbeel, A. Srinivas, and I. Mordatch, “Decision transformer: Reinforcement learning via sequence modeling,”
2021
Later among the works it cites.
M. Janner, Q. Li, and S. Levine, “Offline reinforcement learning as one big sequence modeling problem,”
2021
Later among the works it cites.
M. Wulfmeier, A. Byravan, T. Hertweck, I. Higgins, A. Gupta, T. Kulkarni, M. Reynolds, D. Teplyashin, R. Hafner, T. Lampe
2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
J. Thomason, M. Murray, M. Cakmak, and L. Zettlemoyer, “Vision-and-dialog navigation,” in
2020
Cited alongside, same era.
L. Yuan, D. Chen, Y.-L. Chen, N. Codella, X. Dai, J. Gao, H. Hu, X. Huang, B. Li, C. Li
2021
Cited alongside, same era.
2021
Cited alongside, same era.
H. Akbari, L. Yuan, R. Qian, W.-H. Chuang, S.-F. Chang, Y. Cui, and B. Gong, “Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text,”
2021
Cited alongside, same era.
2021
Cited alongside, same era.
2021
Cited alongside, same era.
2021
Cited alongside, same era.
M. Yang and O. Nachum, “Representation matters: Offline pretraining for sequential decision making,” in
2021
Later among the works it cites.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.
M. Shridhar, L. Manuelli, and D. Fox, “Cliport: What and where pathways for robotic manipulation,” in
2022
Closest in time.
2022
Closest in time.