Fetching the paper…
Reading the bibliography…
Intelligent vision control systems for surgical robots should adapt to unknown and diverse objects while being robust to system disturbances.
2013
Earlier work this paper cites.
B. Kehoe, G. Kahn, J. Mahler, J. Kim, A. Lee, A. Lee, K. Nakagawa, S. Patil, W. D. Boyd, P. Abbeel
2014
Earlier work this paper cites.
P. Kazanzides
2014
Earlier work this paper cites.
S. Sen, A. Garg, D. V. Gealy, S. McKinley, Y. Jen, and K. Goldberg, “Automating multi-throw multilateral surgical suturing with a mechanical needle guide and sequential convex optimization,” in
2016
Earlier work this paper cites.
2017
Earlier work this paper cites.
C. D’Ettorre
2018
Earlier work this paper cites.
D. Seita, S. Krishnan, R. Fox, S. McKinley, J. Canny, and K. Goldberg, “Fast and reliable autonomous surgical debridement with cable-driven robots using a two-phase calibration procedure,” in
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
D. Ha and J. Schmidhuber, “World models,”
2018
Earlier work this paper cites.
A. A. Shvets, A. Rakhlin, A. A. Kalinin, and V. I. Iglovikov, “Automatic instrument segmentation in robot-assisted surgery using deep learning,” in
2018
Earlier work this paper cites.
P. Sundaresan
2019
Earlier work this paper cites.
B. Lu, H. K. Chu, K. Huang, and J. Lai, “Surgical suture thread detection and 3-d reconstruction using a model-free approach in a calibrated stereo visual system,”
2019
Earlier work this paper cites.
F. Zhong
2019
Earlier work this paper cites.
D. Hafner, T. Lillicrap, I. Fischer, R. Villegas, D. Ha, H. Lee, and J. Davidson, “Learning latent dynamics for planning from pixels,” in
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
S. Lu, T. Shkurti, and M. C. Çavuşoğlu, “Dual-arm needle manipulation with the da vinci® surgical robot,” in
2020
Cited alongside, same era.
D. Hafner, T. Lillicrap, M. Norouzi, and J. Ba, “Mastering atari with discrete world models,”
2020
Cited alongside, same era.
J. Schrittwieser
2020
Cited alongside, same era.
O. Özgüner, T. Shkurti, S. Lu, W. Newman, and M. C. Çavuşoğlu, “Visually guided needle driving and pull for autonomous suturing,” in
2021
Cited alongside, same era.
K. L. Schwaner, I. Iturrate, J. K. Andersen, P. T. Jensen, and T. R. Savarimuthu, “Autonomous bi-manual surgical suturing based on skills learned from demonstration,” in
2021
Cited alongside, same era.
2022
Later among the works it cites.
R. Bendikas, V. Modugno, D. Kanoulas, F. Vasconcelos, and D. Stoyanov, “Learning needle pick-and-place without expert demonstrations,”
2023
Later among the works it cites.
Y. Long, W. Wei, T. Huang, Y. Wang, and Q. Dou, “Human-in-the-loop embodied intelligence with interactive simulation environment for surgical robot learning,”
2023
Later among the works it cites.
2023
Later among the works it cites.
N. Joglekar, F. Liu, R. Orosco, and M. Yip, “Suture thread spline reconstruction from endoscopic images for robotic surgery with reliability-driven keypoint detection,” in
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2021
Cited alongside, same era.
L. C. Garcia-Peraza-Herrera, L. Fidon, C. D’Ettorre, D. Stoyanov, T. Vercauteren, and S. Ourselin, “Image compositing for segmentation of surgical tools without manual annotations,”
2021
Cited alongside, same era.
A. Wilcox
2022
Cited alongside, same era.
M. Hwang, J. Ichnowski, B. Thananjeyan, D. Seita, S. Paradis, D. Fer, T. Low, and K. Goldberg, “Automating surgical peg transfer: calibration with deep learning can exceed speed, accuracy, and consistency of humans,”
2022
Cited alongside, same era.
A. Haider and H. Hel-Or, “What can we learn from depth camera sensor noise?”
2022
Cited alongside, same era.
P. M. Scheikl
2022
Cited alongside, same era.
2022
Cited alongside, same era.
2023
Later among the works it cites.
2023
Later among the works it cites.
P. Wu, A. Escontrela, D. Hafner, P. Abbeel, and K. Goldberg, “Daydreamer: World models for physical robot learning,” in
2023
Later among the works it cites.
2023
Later among the works it cites.
H. Lin, B. Li, X. Chu, Q. Dou, Y. Liu, and K. W. S. Au, “End-to-end learning of deep visuomotor policy for needle picking,” in
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
R. Mendonca, S. Bahl, and D. Pathak, “Structured world models from human videos,”
2023
Later among the works it cites.
2023
Later among the works it cites.
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo
2023
Later among the works it cites.
K. Fan, Z. Chen, G. Ferrigno, and E. De Momi, “Learn from safe experience: Safe reinforcement learning for task automation of surgical robot,”
2024
Closest in time.