Robotics, Imaging, and Navigation Sensors for Medical Applications

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

Deadline for manuscript submissions: closed (31 August 2019) | Viewed by 7726

Special Issue Editors


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Guest Editor
Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
Interests: photogrammetric computer vision; biomedical imaging; LiDAR; IMU; mobile robotics; simultaneous localization and mapping (SLAM); machine learning; sensor calibration; sensor fusion, and numerical optimization
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Guest Editor
Garmin Ltd., Canada
Interests: Inertial sensors based algorithms for fitness and wellness applications, human biomechanics, statistical estimation techniques, and integration of multi-sensor navigation system, with a focus on the reliability of the navigation solution

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Guest Editor
School of Spatial Sciences, Curtin University, Perth, Australia
Interests: photogrammetry; remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the recent advancements in artificial intelligence and measurement technologies, the use of optical and motion sensors has become prolific in the field of medicine. Sensors such as inertial measurement units are now available in extremely miniaturized form, thus finding their use in numerous applications such as wellness equipment, human respiration rate measurement, and accident detection. Robotics and imaging data are used not only to aid medical surgery, but also to aid in reducing post-surgery discomfort for patients. Global navigation satellite systems, often in conjunction with other motion trackers, can help quantify exercise (e.g. cycling and running) and provide fitness feedback.

This special issue aims to illustrate the recent advances in the use of robotics, vision, and navigation modalities in various medical applications including medical diagnosis, injury prevention, medical equipment, fitness monitoring, etc.

We invite authors to contribute high quality research articles, survey/review articles, and detailed papers describing novel applications.

Potential topics include, but are not limited to:

  • Development of medical instruments using optical and motion sensors
  • Processing of ultrasound, X-ray, PET, MRI, and CT images
  • Gait analysis, rehabilitation assessment, and human motion capture
  • Data fusion for biomechanics, orthopedics, and medical diagnoses
  • Computer assisted surgery
  • Fall detection and home care
  • Exoskeletons
  • Wearables for activity tracking (e.g. IMU, GNSS, Wi-Fi, UWB, etc.)
  • Sports performance enhancement and injury prevention
  • Error modelling and calibration of sensors (e.g. laser systems, 3D cameras, IMU, etc.)
  • Computer vision and machine learning for medical image analysis
  • Advanced numerical estimation/optimization methods

Dr. Jacky C.K. Chow
Dr. Anup Dhital
Dr. David Belton
Guest Editor

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.

Keywords

  • Biomedical Imaging
  • Medical Robotics
  • Photogrammetry
  • Computer Vision
  • Inertial Measurement Units
  • Accelerometers
  • Gyroscopes
  • Magnetometers
  • Navigation
  • SLAM
  • Machine Learning
  • Imaging Processing
  • Data Fusion
  • Motion Tracking
  • Gait Analysis

Published Papers (1 paper)

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Research

14 pages, 4120 KiB  
Article
Inverse Kinematics with a Geometrical Approximation for Multi-Segment Flexible Curvilinear Robots
by Sehun Kim, Wenjun Xu and Hongliang Ren
Robotics 2019, 8(2), 48; https://doi.org/10.3390/robotics8020048 - 19 Jun 2019
Cited by 12 | Viewed by 7114
Abstract
Despite research related to flexible or continuum curvilinear robots, there lacks a common simulation tool for continuum robots, which are unlike rigid robots. Thus, in this paper, a robotics toolbox is utilized to model a wire-driven flexible manipulator as one of the continuum [...] Read more.
Despite research related to flexible or continuum curvilinear robots, there lacks a common simulation tool for continuum robots, which are unlike rigid robots. Thus, in this paper, a robotics toolbox is utilized to model a wire-driven flexible manipulator as one of the continuum robots. Constant curvature property can enable the robotics toolbox to represent the flexible manipulator and validate its kinematics. Moreover, because the closed-form inverse kinematics methods developed previously for real-time control conceded limitations in modeling some continuum robots, we hereby develop an inverse kinematics method for the wire-driven flexible manipulator which can provide fast and reliable inverse results. Experimental results showed that geometrical information offered a stable starting point for the proposed inverse kinematics algorithm. Moreover, the first and second derivatives of a fitness function further contributed to a fast-converging solution within a few microseconds. Lastly, for the potential feasibility of an active compliance controller without physical force/torque sensors, a reaction torque observer was investigated for a flexible manipulator with direct drive mechanisms. Full article
(This article belongs to the Special Issue Robotics, Imaging, and Navigation Sensors for Medical Applications)
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