Collaborative robots training in skill-based model in industrial environment
Journal: Science Journal "NovaInfo" (Vol.110, No. 1)Publication Date: 2019-12-15
Authors : Pachev Artem Nikolaevich; Manucharyan Levon Khachaturovich; Yurasov Anton Igorevich;
Page : 6-17
Keywords : COLLABORATIVE ROBOTS; TASK-LEVEL PROGRAMMING; ROBOT SKILLS; INTUITIVE ROBOT INSTRUCTION; INDUSTRIAL ASSEMBLY;
Abstract
In recent years, along with an increase in demand for more versatile equipment, a increased interest in collaborative robots has appeared. The use of collaborative robots involves their interfacing with the work of production personnel in a continuous changing environment. In order to carry out work processes in the environment, new programming and control means are required in comparison with the methods used for traditional industrial robots. The article presents tools for programming at the task level. This allows beginners in robotics to train collaborative robots in solving production problems. A tool called Skill Based System (SBS) uses the concept of robot skills, which can be parameterized depending on the task being solved. To program a task, you must use online parameterization and kinesthetic training. Based on a number of studies conducted on user training, it was found that SBS gives beginners in robotics the ability to solve industrial problems using programming. Along with this, SBS has proved its applicability in real industrial scenarios, thanks to testing in several production models.
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