
RESEARCH OF ROBOTIC SYSTEMS CONTROL METHODS USING MOTION RECOGNITION TOOLS, MACHINE LEARNING AND SKELETALIZATION ALGORITHMS
Author(s) -
Paulius Sakalys,
Loreta Savulionienė,
Dainius Savulionis
Publication year - 2021
Publication title -
sabiedrība, integrācija, izglītība/sabiedrība. integrācija. izglītība/society. integration. education
Language(s) - English
Resource type - Journals
eISSN - 2256-0629
pISSN - 1691-5887
DOI - 10.17770/sie2021vol5.6451
Subject(s) - usability , computer science , motion control , artificial intelligence , process (computing) , compatibility (geochemistry) , control engineering , algorithm , machine learning , human–computer interaction , engineering , robot , operating system , chemical engineering
The aim of the research is to develop possible control methods of robotic systems based on the usability of motion detection equipment, skeletalization algorithms and robotic systems, integrating them into the existing test bench by performing compatibility tests. The article reviews the possible motion detection systems, establishing the criteria of applicability in the control of robotic systems, describes the experimental research plan, research stand, discusses the research results and presents summarized conclusions and suggestions for the integration of research results into the educational process.