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The dominant paradigm for end-to-end robot learning focuses on optimizing task-specific objectives that solve a single robotic problem such as picking up an object or reaching a target position.
L.b. surgeon uses robot in operation
La Ganga, M. L · 1985
Earlier work this paper cites.
Nonsurgical factors that influence the outcome of bariatric surgery: a review
Hsu, L. G. et al · 1998
Earlier work this paper cites.
Impact of obesity on surgical outcomes after colorectal resection
Benoist, S., Panis, Y., Alves, A. & Valleur, P · 2000
Earlier work this paper cites.
State of the art in surgical robotics: clinical applications and technology challenges
Cleary, K. & Nguyen, C · 2001
Earlier work this paper cites.
Psychosocial factors and surgical outcomes: an evidence-based literature review
Rosenberger, P. H., Jokl, P. & Ickovics, J · 2006
Earlier work this paper cites.
Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations
Van Den Berg, J. et al · 2010
Earlier work this paper cites.
Is robotic surgery cost-effective: no
Lotan, Y · 2012
Earlier work this paper cites.
Jhu-isi gesture and skill assessment working set (jigsaws): A surgical activity dataset for human motion modeling
Gao, Y. et al · 2014
Earlier work this paper cites.
Detecting surgical tools by modelling local appearance and global shape
Bouget, D. et al · 2015
Earlier work this paper cites.
Comparison of robot-assisted radical prostatectomy and open radical prostatectomy outcomes: a systematic review and meta-analysis
Seo, H.-J. et al · 2016
Earlier work this paper cites.
Supervised autonomous robotic soft tissue surgery
Shademan, A. et al · 2016
Earlier work this paper cites.
Endonet: a deep architecture for recognition tasks on laparoscopic videos
Twinanda, A. P. et al · 2016
Earlier work this paper cites.
A brief survey of deep reinforcement learning
Arulkumaran, K., Deisenroth, M. P., Brundage, M. & Bharath, A. A · 2017
Earlier work this paper cites.
Attention is all you need
Vaswani, A. et al · 2017
Earlier work this paper cites.
A review on the 3d printing of functional structures for medical phantoms and regenerated tissue and organ applications
Wang, K., Ho, C.-C., Zhang, C. & Wang, B · 2017
Earlier work this paper cites.
A study on overfitting in deep reinforcement learning
Zhang, C., Vinyals, O., Munos, R. & Bengio, S · 2018
Earlier work this paper cites.
An algorithmic perspective on imitation learning
Osa, T. et al · 2018
Earlier work this paper cites.
Cataract-101: video dataset of 101 cataract surgeries
Schoeffmann, K. et al · 2018
Earlier work this paper cites.
Open-sourced reinforcement learning environments for surgical robotics
Richter, F., Orosco, R. K. & Yip, M. C · 2019
Earlier work this paper cites.
Deep reinforcement learning for soft, flexible robots: Brief review with impending challenges
Bhagat, S., Banerjee, H., Ho Tse, Z. T. & Ren, H · 2019
Earlier work this paper cites.
Robot autonomy for surgery
Yip, M. & Das, N · 2019
Earlier work this paper cites.
Desk: A robotic activity dataset for dexterous surgical skills transfer to medical robots
Madapana, N. et al · 2019
Earlier work this paper cites.
Medical big data is not yet available: why we need realism rather than exaggeration
Kim, H.-S., Kim, D.-J. & Yoon, K.-H · 2019
Earlier work this paper cites.
Trends in the adoption of robotic surgery for common surgical procedures
Sheetz, K. H., Claflin, J. & Dimick, J. B · 2020
Earlier work this paper cites.
Learning quadrupedal locomotion over challenging terrain
Lee, J., Hwangbo, J., Wellhausen, L., Koltun, V. & Hutter, M · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Dosovitskiy, A. et al · 2020
Cited alongside, same era.
The rise of robots in surgical environments during covid-19
Zemmar, A., Lozano, A. M. & Nelson, B. J · 2020
Cited alongside, same era.
Conservative q-learning for offline reinforcement learning
Kumar, A., Zhou, A., Tucker, G. & Levine, S · 2020
Cited alongside, same era.
Cholecseg8k: a semantic segmentation dataset for laparoscopic cholecystectomy based on cholec80
Hong, W.-Y. et al · 2020
Cited alongside, same era.
Peg transfer workflow recognition challenge report: Does multi-modal data improve recognition?
Huaulmé, A. et al · 2022
Later among the works it cites.
Many researchers were not compliant with their published data sharing statement: a mixed-methods study
Gabelica, M., Bojčić, R. & Puljak, L · 2022
Later among the works it cites.
Automatic analysis of available source code of top artificial intelligence conference papers
Lin, J. et al · 2022
Later among the works it cites.
Machine learning for technical skill assessment in surgery: a systematic review
Lam, K. et al · 2022
Later among the works it cites.
An assessment tool to provide targeted feedback to robotic surgical trainees: development and validation of the end-to-end assessment of suturing expertise (ease)
Haque, T. F. et al · 2022
Later among the works it cites.
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Evaluation of deep learning models for identifying surgical actions and measuring performance
Khalid, S., Goldenberg, M., Grantcharov, T., Taati, B. & Rudzicz, F · 2020
Cited alongside, same era.
Reinforcement learning in surgery
Datta, S. et al · 2021
Cited alongside, same era.
The evidence behind robot-assisted abdominopelvic surgery: a systematic review
Dhanani, N. H. et al · 2021
Cited alongside, same era.
Autonomous robotic suction to clear the surgical field for hemostasis using image-based blood flow detection
Richter, F. et al · 2021
Cited alongside, same era.
Deep reinforcement learning for the control of robotic manipulation: a focussed mini-review
Liu, R., Nageotte, F., Zanne, P., de Mathelin, M. & Dresp-Langley, B · 2021
Cited alongside, same era.
How to train your robot with deep reinforcement learning: lessons we have learned
Ibarz, J. et al · 2021
Cited alongside, same era.
On the opportunities and risks of foundation models
Bommasani, R. et al · 2021
Cited alongside, same era.
Early-and late-career surgeon deficiencies in complex cases
Moon, M. R · 2022
Later among the works it cites.
Rt-2: Vision-language-action models transfer web knowledge to robotic control
Brohan, A. et al · 2023
Later among the works it cites.
Open X-Embodiment: Robotic learning datasets and RT-X models
Collaboration, O. X.-E. et al · 2023
Later among the works it cites.
Toward general-purpose robots via foundation models: A survey and meta-analysis
Hu, Y. et al · 2023
Later among the works it cites.
Lapgym–an open source framework for reinforcement learning in robot-assisted laparoscopic surgery
Scheikl, P. M. et al · 2023
Later among the works it cites.
Autonomous medical needle steering in vivo
Kuntz, A. et al · 2023
Later among the works it cites.
Legged locomotion in challenging terrains using egocentric vision
Agarwal, A., Kumar, A., Malik, J. & Pathak, D · 2023
Later among the works it cites.
Learning fine-grained bimanual manipulation with low-cost hardware
Zhao, T. Z., Kumar, V., Levine, S. & Finn, C · 2023
Later among the works it cites.
Model predictive optimization for imitation learning from demonstrations
Hu, Y. et al · 2023
Later among the works it cites.
Guided reinforcement learning with efficient exploration for task automation of surgical robot
Huang, T., Chen, K., Li, B., Liu, Y.-H. & Dou, Q · 2023
Later among the works it cites.
Octo: An open-source generalist robot policy
Octo Model Team et al · 2023
Later among the works it cites.
Foundation models for generalist medical artificial intelligence
Moor, M. et al · 2023
Later among the works it cites.
Llama 2: Open foundation and fine-tuned chat models
Touvron, H. et al · 2023
Later among the works it cites.
Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions
Chebotar, Y. et al · 2023
Later among the works it cites.
Robots that ask for help: Uncertainty alignment for large language model planners
Ren, A. Z. et al · 2023
Later among the works it cites.
A surgical dataset from the da vinci research kit for task automation and recognition
Rivas-Blanco, I., Del-Pulgar, C. J. P., Mariani, A., Tortora, G. & Reina, A. J · 2023
Later among the works it cites.
Prevalence and predictors of data and code sharing in the medical and health sciences: systematic review with meta-analysis of individual participant data
Hamilton, D. G. et al · 2023
Later among the works it cites.
Towards generalist foundation model for radiology
Wu, C., Zhang, X., Zhang, Y., Wang, Y. & Xie, W · 2023
Later among the works it cites.
Wang, D. et al · 2023
Later among the works it cites.