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Recent Trends in Robotics and Automation

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 2192

Special Issue Editors


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Guest Editor
Portuguese Military Research Center (CINAMIL), Portuguese Military Academy (Academia Militar) & Institute for Systems and Robotics (ISR), Instituto Superior Técnico (IST), R. Gomes Freire 203, 1169-203 Lisbon, Portugal
Interests: robotics; computer vision applications; machine learning; motion estimation; algorithm design applied to advanced robotics; data science
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Portuguese Navy Research Center (CINAV), Portuguese Naval Academy (Escola Naval), Base Naval de Lisboa, Alfeite, 2800-001 Almada, Portugal
Interests: machine learning; self-organizing maps; robotics; algorithm design applied to advanced robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Robotics and automation have become integral to our daily lives, with continuous development applications ranging from military to civilian domains. From ancient Greece's first automated machines to the Industrial Revolution, we have come a long way to achieve our current technological reality.

Robotics and automation are intertwined fields, with their combination achieving better results and developing more complex applications. Robotics covers a vast range from mobile to industrial robotics, and we aim to publish many interesting applications in this Special Issue. Sharing the latest trends in the field with the research community is essential to boost its development.

This Special Issue aims to collect original research articles and reviews on recent trends in robotics and automation. If you are interested in this topic, please contact us.

Dr. Nuno Pessanha Santos
Prof. Dr. Victor Lobo
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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • artificial intelligence
  • machine learning
  • control systems
  • system design
  • robotics
  • algorithm design and analysis
  • robotic applications
  • control applications

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Published Papers (1 paper)

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Research

19 pages, 4973 KiB  
Article
Robotic Manipulation of Cumulus–Oocyte Complexes for Cumulus Cell Removal
by Rongan Zhai, Miao Hao, Yong Wang, Changhai Ru and Junhui Zhu
Appl. Sci. 2024, 14(18), 8450; https://doi.org/10.3390/app14188450 - 19 Sep 2024
Viewed by 1616
Abstract
The removal of cumulus cells from cumulus–oocyte complexes is a critical step in clinical in vitro fertilization. Since the oocyte is partially occluded by the surrounding cumulus cells and individual cumulus cells are small in size, it is difficult for embryologists to assess [...] Read more.
The removal of cumulus cells from cumulus–oocyte complexes is a critical step in clinical in vitro fertilization. Since the oocyte is partially occluded by the surrounding cumulus cells and individual cumulus cells are small in size, it is difficult for embryologists to assess the oocyte's maturity before cumulus cell removal and to completely remove all the cumulus cells manually . Furthermore, it is easy for the oocyte to become lost inside the micropipette during aspiration due to the inaccuracy of manual control. To deal with these difficulties, a robotic system was developed to completely remove cumulus cells from mature oocytes. In this study, an EPSANet50 network was developed to accurately assess the maturity of oocytes, avoiding the removal of cumulus cells around the immature oocyte. An adaptive controller was designed to accurately position oocytes at the target position, reducing the loss of oocytes inside the micropipette. An improved Yolov5s network was proposed to quantify the number and size of cumulus cells and assess the completeness of cumulus cell removal. The experimental results on mouse cumulus–oocyte complexes showed that the robotic system had a higher success rate (98.0 ± 1.8% vs. 85.3 ± 2.4%) and lower discard rate (4.1 ± 2.7% vs. 19.6 ± 3.5%) than the manual operation. Moreover, a higher amplification rate and lower non-specific rate were also achieved by the robotic system in the subsequent genetic testing procedure, indicating reduced genetic contamination from the cumulus cells. Full article
(This article belongs to the Special Issue Recent Trends in Robotics and Automation)
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