
Automation of the manipulation robot construction trajectory for soft tissues tensoalgometry
Author(s) -
Ekaterina A. Khmyachina,
Maxim V Archipov,
Daniil V Khmyachin,
А. Е. Саморуков,
M. A. Eremushkin,
E A Vzhesnevsky
Publication year - 2020
Publication title -
iop conference series materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/747/1/012085
Subject(s) - automation , robot , process (computing) , computer science , artificial intelligence , trajectory , control engineering , process automation system , statement (logic) , computer vision , simulation , engineering , mechanical engineering , programming language , physics , astronomy , law , political science
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.
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