Using AI and Digital Simulations to Expedite the Learning and Programming of COBOTS
Héctor Rafael Morano-Okuno, Guillermo Sandoval-Benitez, Rafael Caltenco-Castillo
- 发表年份
- 2024
- 引用次数
- 3
摘要
The significant time it takes from authorizing the purchase of a collaborative robot to its installation, including the execution of the purchase order, delivery, and training, results in a considerable wait for users to utilize the robot's potential. This work presents alternatives to reducing the time to use the robot before it arrives at the user's facilities. These tools combine digital simulation and Artificial Intelligence, such as Prompt Engineering. Simulations familiarize users with the robot's configuration and movements, and artificial intelligence is used to learn how to program it. Among the results, it was found that using this combination of tools, users could start programming the collaborative robot from the first day its installation was completed and become utterly familiar with its capabilities. The steps necessary to replicate the efficient learning methodology are shared upon completing this work. This will enable users to become proficient in quickly using and programming the collaborative robot.
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