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Cited by 263

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Autonomy in Surgical Robotics

Open access
Attanasio, Aleks, Scaglioni, Bruno, De Momi, Elena, Fiorini, Paolo, Valdastri, Pietro·2021·Annual Review of Control, Robotics, and Autonomous Systems

Abstract

This review examines the dichotomy between automatic and autonomous behaviors in surgical robots, maps the possible levels of autonomy of these robots, and describes the primary enabling technologies that are driving research in this field. It is organized in five main sections that cover increasing levels of autonomy. At level 0, where the bulk of commercial platforms are, the robot has no decision autonomy. At level 1, the robot can provide cognitive and physical assistance to the surgeon, while at level 2, it can autonomously perform a surgical task. Level 3 comes with conditional autonomy, enabling the robot to plan a task and update planning during execution. Finally, robots at level 4 can plan and execute a sequence of surgical tasks autonomously.

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Crossref · 10.1146/annurev-control-062420-090543

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Metadata

Authors
Attanasio, A., Scaglioni, B., De Momi, E., Fiorini, P., & Valdastri, P.
Venue
Annual Review of Control, Robotics, and Autonomous Systems
Published
2021-05-03
Volume
4
Issue
1
Pages
651-679
ISSN
2573-5144 (ISSN-L)
OpenAlex
W3096597946
Cited by
263
References
4
FWCI
2.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Autonomy in Surgical Robotics. https://app.cochat.ai/papers/10.1146/annurev-control-062420-090543
The paper
Attanasio, A., Scaglioni, B., De Momi, E., Fiorini, P., & Valdastri, P. (2021). Autonomy in Surgical Robotics. Annual Review of Control, Robotics, and Autonomous Systems. https://doi.org/10.1146/annurev-control-062420-090543

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.