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AI AND ROBOTICS: THE CHALLENGES AND THE OPPORTUNITIES

机译:AI和机器人:挑战和机遇

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摘要

Artificial intelligence (AI) has been the subject of considerable hype for several years, but is industry now ready to move to the next stage and focus on how it can be sustainably implemented on the factory floor in robotics and industrial automation applications? Omron has highlighted four key artificial intelligence (AI) trends that it is seeing in robotics and industrial automation: Valuable machine data generated at the edge: The latest industrial automation and robotic developments in factories depend on the generation and collection of deep knowledge and data insights at machine level - i.e. at the edge. The machine can learn from its human operators and subsequently improve the output. Technology controlled by AI can empower machine learning by predicting both product and equipment failure, using data generated by Industrial Internet of Things (IIoT) devices. The analysis and use of combined data enables users to rapidly predict potential machine errors, preventing disruptions and the deterioration of product quality.
机译:人工智能(AI)已有数年的炒作的主题,但现在的行业准备搬到下阶段,专注于如何在机器人和工业自动化应用中的工厂地板上可持续地实施? Omron强调了它在机器人和工业自动化中看到的四个关键人工智能(AI)趋势:在边缘产生的宝贵机器数据:工厂的最新工业自动化和机器人发展取决于深度知识和数据见解的生成和收集在机器级 - 即在边缘。机器可以从其人机操作员学习,随后改善输出。 AI控制的技术可以通过预测产品和设备故障,使用由工业互联网(IIOT)设备产生的数据来实现机器学习。组合数据的分析和使用使用户能够快速预测潜在的机器误差,防止产品质量的破坏和恶化。

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