Attanasio, A, Scaglioni, B orcid.org/0000-0003-4891-8411, De Momi, E et al. (2 more authors) (2021) Autonomy in Surgical Robotics. Annual Review of Control, Robotics, and Autonomous Systems, 4. pp. 651-679. ISSN 2573-5144
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | robotic surgery, surgical robotics, autonomy, autonomous robots |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Funding Information: | Funder Grant number Royal Society wm150122 EPSRC (Engineering and Physical Sciences Research Council) EP/R045291/1 EU - European Union 818045 |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Jul 2020 12:48 |
Last Modified: | 23 Jun 2021 14:47 |
Status: | Published |
Publisher: | Annual Reviews |
Identification Number: | 10.1146/annurev-control-062420-090543 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:163734 |