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Robotics
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Medical Robotics: Advances in Training, Ergonomics, Sensing, Control and Other...
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Medical Robotics: Advances in Training, Ergonomics, Sensing, Control and Other Areas

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: closed (31 December 2018) | Viewed by 28225

Special Issue Editors

Prof. Dr. Abhilash Pandya

E-Mail Website
Guest Editor
Computer Assisted Robot Enhances Systems Lab, Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA
Interests: medical robotics; rehabilitation robotics; biomedical signal processing; learning and classification algorithms; robot vision: augmented and virtual reality
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Luke Reisner

E-Mail
Guest Editor
Computer-Assisted Robot-Enhanced Systems (CARES) Lab, Department of Electrical and Computer Engineering, Wayne State University, 3330 Engineering Building, 5050 Anthony Wayne Dr., Detroit, MI 48202, USA
Interests: surgical robotics; machine learning; chemometrics; augmented and virtual reality

Special Issue Information

Dear Colleagues,

We predict that technology-assisted medicine (and robotics in particular) will have a significant impact on health care over the next few decades. While already utilized in areas such as cardiac surgery, urology, fetal surgery, pediatrics, neurosurgery, orthopedics and many other medical disciplines, robots will augment the surgeon’s senses (e.g., with haptics (feel), augmented reality (sight), ultrasound (sensing), etc.), motor performance and diagnosis capability.

Even with enormous technological gains, robotic surgery is still at its infancy. There are some major areas of technological improvement needed for this technology to reach its ultimate potential which include better automation, visualization, tactile sensing, diagnostic sensing, human robot interfaces, and miniaturization among others. This Special Issue will focus on the latest advancements in robotic surgery and its associated leveraging areas. The main topics include, but are not limited to:

  • Training / Simulation
    • Design/validation/efficacy
    • Simulation of procedures
    • Physical modeling
  • Robot Safety and Human factors
    • Robot–computer interfaces
    • Capturing Surgeon intentions
    • Techniques to ensure safety
  • Visualization
    • Augmented and Virtual reality
    • Image Guidance/Virtual rails
    • Imaging devices image
    • data fusion
  • Robotic/Sensor Integration
    • Haptics
    • Abnormality (e.g., cancer) detection sensors
    • Multi-modal sensor fusion
  • Novel robotic designs/procedures
    • Surgical Automation
    • Artificial Intelligence
    • Micro/Nano technologies
    • Clinical applications 

Prof. Dr. Abhilash Pandya
Prof. Dr. Luke Reisner
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Robotics 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 1800 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.

Published Papers (3 papers)

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Research

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14 pages, 4675 KiB  
Article
Remote Presence: Development and Usability Evaluation of a Head-Mounted Display for Camera Control on the da Vinci Surgical System
by Tareq Dardona, Shahab Eslamian, Luke A. Reisner and Abhilash Pandya
Robotics 2019, 8(2), 31; https://doi.org/10.3390/robotics8020031 - 19 Apr 2019
Cited by 19 | Viewed by 7410
Abstract
This paper describes the development of a new method to control the camera arm of a surgical robot and create a better sense of remote presence for the surgeon. The current surgical systems are entirely controlled by the surgeon, using hand controllers and [...] Read more.
This paper describes the development of a new method to control the camera arm of a surgical robot and create a better sense of remote presence for the surgeon. The current surgical systems are entirely controlled by the surgeon, using hand controllers and foot pedals to manipulate either the instrument or the camera arms. The surgeon must pause the operation to move the camera arm to obtain a desired view and then resume the operation. The camera and tools cannot be moved simultaneously, leading to interrupted and unnatural movements. These interruptions can lead to medical errors and extended operation times. In our system, the surgeon controls the camera arm by his natural head movements while being immersed in a 3D-stereo view of the scene with a head-mounted display (HMD). The novel approach enables the camera arm to be maneuvered based on sensors of the HMD. We implemented this method on a da Vinci Standard Surgical System using the HTC Vive headset along with the Unity engine and the Robot Operating System framework. This paper includes the result of a subjective six-participant usability study that compares the workload of the traditional clutched camera control method against the HMD-based control. Initial results indicate that the system is usable, stable, and has a lower physical and mental workload when using the HMD control method. Full article
(This article belongs to the Special Issue Medical Robotics: Advances in Training, Ergonomics, Sensing, Control and Other Areas)
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17 pages, 5600 KiB  
Article
A Robotic Recording and Playback Platform for Training Surgeons and Learning Autonomous Behaviors Using the da Vinci Surgical System
by Abhilash Pandya, Shahab Eslamian, Hao Ying, Matthew Nokleby and Luke A. Reisner
Robotics 2019, 8(1), 9; https://doi.org/10.3390/robotics8010009 - 06 Feb 2019
Cited by 14 | Viewed by 10248
Abstract
This paper describes a recording and playback system developed using a da Vinci Standard Surgical System and research kit. The system records stereo laparoscopic videos, robot arm joint angles, and surgeon–console interactions in a synchronized manner. A user can then, on-demand and at [...] Read more.
This paper describes a recording and playback system developed using a da Vinci Standard Surgical System and research kit. The system records stereo laparoscopic videos, robot arm joint angles, and surgeon–console interactions in a synchronized manner. A user can then, on-demand and at adjustable speeds, watch stereo videos and feel recorded movements on the hand controllers of entire procedures or sub procedures. Currently, there is no reported comprehensive ability to capture expert surgeon movements and insights and reproduce them on hardware directly. This system has important applications in several areas: (1) training of surgeons, (2) collection of learning data for the development of advanced control algorithms and intelligent autonomous behaviors, and (3) use as a “black box” for retrospective error analysis. We show a prototype of such an immersive system on a clinically-relevant platform along with its recording and playback fidelity. Lastly, we convey possible research avenues to create better systems for training and assisting robotic surgeons. Full article
(This article belongs to the Special Issue Medical Robotics: Advances in Training, Ergonomics, Sensing, Control and Other Areas)
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Review

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17 pages, 834 KiB  
Review
Analysis of Man-Machine Interfaces in Upper-Limb Prosthesis: A Review
by José Ribeiro, Francisco Mota, Tarique Cavalcante, Ingrid Nogueira, Victor Gondim, Victor Albuquerque and Auzuir Alexandria
Robotics 2019, 8(1), 16; https://doi.org/10.3390/robotics8010016 - 21 Feb 2019
Cited by 43 | Viewed by 9949
Abstract
This paper compiles and analyzes some of the most current works related to upper limb prosthesis with emphasis on man-machine interfaces. A brief introduction of the basic subjects is given to explain what a prosthesis is, what types of prostheses exist, what they [...] Read more.
This paper compiles and analyzes some of the most current works related to upper limb prosthesis with emphasis on man-machine interfaces. A brief introduction of the basic subjects is given to explain what a prosthesis is, what types of prostheses exist, what they serve for, how they communicate with the user (control and feedback), and what technologies are involved. The method used in this review is also discussed, as well as the cataloging process and analysis of articles for the composition of this review. Each article is analyzed individually and its results are presented in a succinct way, in order to facilitate future research and serve as a source for professionals related to the area of prosthesis, such as doctors, engineers, researchers, and anyone interested in this subject. Finally, the needs and difficulties of the current prostheses, as well as the negative and positive points in the results are analyzed, and the progress achieved so far is discussed. Full article
(This article belongs to the Special Issue Medical Robotics: Advances in Training, Ergonomics, Sensing, Control and Other Areas)
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