Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy
By James Cambias, K. Cleary, Eric Daimler, James M. Drake, Pierre E. Dupont, N. Hata, Peter Kazanzides, S. Martel, Rajnikant V. Patel, V. Santos and 1 more. Science Robotics, 2017
628 citations recorded by the source corpus.
Subfields: Emergency Medicine, Health Informatics, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/2ca9bd07ed18aadf5c532d0bf3cce25149260a89
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- Björn Schuller
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- Miles Dai
- Rosalind W. Picard
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- M. Kam
- M. Hsieh
Citations in the corpus
- Personalized machine learning for robot perception of affect and engagement in autism therapy (2018, background): “The bars in plot (B) summarize the therapy in terms of the average levels of E, V and A (± SD) within each phase of the therapy: (1) pairing, (2) recognition, and (3) imitation (there is no phase (4) - storytelling - because the child left after phase (3)).”
- Autonomous Robotic Laparoscopic Surgery for Intestinal Anastomosis (2022, methodology): “, pure teleoperation); LoA 1, robot assistance [continuous control by human with some mechanical guidance or assistance from robot via virtual fixtures or active constraints (20)]; LoA 2, task autonomy (robot autonomously performs specific tasks, such as running sutures, that are initiated by human ”
- Robotics for Customer Service: A Useful Complement or an Ultimate Substitute? (2019, background): “With a higher level of autonomy, robots will be capable of fulfilling complicated tasks and responding to various environments with less human intervention and thus regarded as more intelligent, more helpful, and as easier partners to work with (Yang et al. 2017).”