Surgical Robotics: From the Laboratory to the Operating Room

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 2069

Special Issue Editors


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Guest Editor
Institute of Communications & Computer Systems, National Technical University of Athens, 15780 Athens, Greece
Interests: surgical robotics; medical robotics; control theory; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Electrical and Computer Engineering, National Technical University of Athens, 15773 Athens, Greece
Interests: robotics; human-robot interaction; intelligent control systems; haptics; telerobotics; virtual reality
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

It is our pleasure to announce the launch of a new joint Special Issue of Machines and Robotics on “Surgical Robotics: From the Laboratory to the Operating Room”, to which we cordially invite you to contribute.

Over the past twenty years, surgical robots have seen an increasing acceptance and utilization in the operating room, revolutionising interventions by enhancing surgical dexterity and safety, while reducing procedure and patient recovery times. Current commercial platforms cover a wide range of surgical specialties, from urologic, to colorectal, to gynecologic surgery, to name a few. In the last years, many more companies have entered the market, offering advanced robotic surgical solutions, intensifying the competition, while at the same time, research in the field has been growing exponentially.

The main goal of this Special Issue is to provide a current snapshot of the state of the art, both for the commercial platforms deployed in the Operating Room, as well as the research and innovation output from academia. Topics of interest include, but are not limited to:

  • Technical and functional description of commercial platforms;
  • Clinical applications of commercial and emerging platforms;
  • Autonomy is surgical robots;
  • Enhanced human–robot interaction;
  • Surgical data science;
  • Remote surgery/telesurgery;
  • Novel intra/perioperative visualisation and imaging in robotic surgery;
  • Novel designs;
  • Training platforms and tools;
  • Cognitive architectures and control;
  • Haptics in robotic surgery.

You may choose our Joint Special Issue in Robotics.

Dr. George Moustris
Dr. Costas Tzafestas
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • robotic surgery
  • autonomy
  • human–robot interaction
  • surgical data science
  • cognitive surgical robotics
  • surgical training
  • remote surgery
  • telesurgery
  • haptics
  • intraoperative imaging
  • perioperative imaging

Published Papers (1 paper)

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Research

22 pages, 20356 KiB  
Article
A Guiding and Positioning Motion Strategy Based on a New Conical Virtual Fixture for Robot-Assisted Oral Surgery
by Yan Wang, Wei Wang, Yueri Cai, Qiming Zhao, Yuyang Wang, Yaoqing Hu and Shaoan Wang
Machines 2023, 11(1), 3; https://doi.org/10.3390/machines11010003 - 21 Dec 2022
Cited by 3 | Viewed by 1432
Abstract
In robot-assisted oral surgery, the surgical tool needs to be fed into the target position to perform surgery. However, unmodeled extraoral and complex intraoral environments bring difficulties to motion planning. Meanwhile, the motion is operated manually by the surgeon, causing relatively limited accuracy [...] Read more.
In robot-assisted oral surgery, the surgical tool needs to be fed into the target position to perform surgery. However, unmodeled extraoral and complex intraoral environments bring difficulties to motion planning. Meanwhile, the motion is operated manually by the surgeon, causing relatively limited accuracy as well as the risk of misoperation. Moreover, the random movements of the patient’s head bring additional disturbance to the task. To achieve the task, a motion strategy based on a new conical virtual fixture (VF) was proposed. First, by preoperatively specifying a conical guiding cone as the VF, virtual repulsive forces were applied on the out-of-range end effector. Then, based on the two-point adjustment model and velocity conversion, the effect of VF was established to prevent the end-effector from exceeding the constraint region. Finally, a vision system corrects the guiding cone to compensate for the random movement of the patient’s head to feed to a dynamic target. As an auxiliary framework for surgical operation, the proposed strategy has the advantages of safety, accuracy, and dynamic adaptability. Both simulations and experiments are conducted, verifying the feasibility of the proposed strategy. Full article
(This article belongs to the Special Issue Surgical Robotics: From the Laboratory to the Operating Room)
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