• Medientyp: E-Artikel
  • Titel: Automation of the manipulation robot construction trajectory for soft tissues tensoalgometry
  • Beteiligte: Khmyachina, E A; Archipov, M V; Khmyachin, D V; Samorukov, A E; Eremushkin, M A; Vzhesnevsky, E A
  • Erschienen: IOP Publishing, 2020
  • Erschienen in: IOP Conference Series: Materials Science and Engineering, 747 (2020) 1, Seite 012085
  • Sprache: Nicht zu entscheiden
  • DOI: 10.1088/1757-899x/747/1/012085
  • ISSN: 1757-899X; 1757-8981
  • Schlagwörter: General Medicine
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  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title> <jats:p>The problem statement and solutions for using the vision system to automate the machine learning process of a manipulation robot for constructing trajectories for tensoalgometric diagnostics of human soft tissues are considered. The research structure of the robotic system is equipped with a vision system and a power sensor. Robots to accelerate the procedures of geometric power characteristics of soft biological human tissues. The results of the work in the form of programs and algorithms are presented.</jats:p>
  • Zugangsstatus: Freier Zugang