Smart robotics automation: human learning models and enabling technologies

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30 Novembro 2022
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Tempo de leitura
< 1 minuto

Machine learning, artificial intelligence, IoT and system integration combine to create cutting-edge robotic process automation systems.

Machine Learning, Robotics, Neural Networks - In these areas, a single great technological challenge takes shape that refers to Artificial Intelligence or Artificial Intelligence (AI). Although it is a complex technology, the basic idea of Artificial Intelligence is very simple: to develop robotics and automation with autonomous learning and adaptation capabilities that are inspired by human learning models.

Definition in hand, Artificial Intelligence is the branch of computer science that studies the development of hardware and software systems with specific capabilities typical of the human being: interaction with the environment, learning and adaptation, reasoning and planning, ability to autonomously pursue a defined purpose, ability to make decisions. In this market, which is still in its infancy, the area of development of intelligent robots is growing.

For a manufacturing company with a strong culture of continuous improvement as LEAS is, artificial intelligence merges with other enabling technologies at the base of digital transformation. Machine learning, artificial intelligence, IoT and system integration combine to create semi-automatic or fully automatic systems, equipped with advanced robotics technology, automatic learning and self-regulation systems, for continuous process improvement and resource optimization in the product life cycle, monitoring and management systems, through remote access.

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