Framework evaluation reveals effective virtual control of collaborative robot-manipulators, highlighting reduced hardware costs and enhanced operator training.
The development of control systems for multilink manipulative robots is an important challenge for which there is a growing demand in education, industry, and science. Despite their higher cost compared to traditional devices, manipulative robots have flexible configurations and the ability to perform a variety of tasks, including those that were previously only possible for humans. This makes them indispensable in a variety of contexts. Integrating digital twins in a virtual environment that mimics the real-world environment of manipulators offers an opportunity to gain initial firsthand experience in programming and controlling advanced industrial robots, bypassing the need to purchase expensive specialized equipment. This reduces costs and potential risks associated with human error. The ability to learn new robotic skills in a three-dimensional environment in which the user can be fully or partially immersed is a valuable factor for successful learning. In addition, this approach, which allows the integration of various auxiliary systems such as conveyors, grippers, vision, and other manipulators into a digital environment, helps to predict potential failures, reduce maintenance costs, and decrease the time and cost of new product introductions.
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Epifantseva et al. (2024) studied this question.
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