Automation
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Automation refers to the use of technology, machinery, and control systems to perform tasks with minimal or no human intervention. Rooted in mechanical engineering and expanded dramatically through computing and artificial intelligence, automation encompasses a broad spectrum—from simple rule-based machines executing repetitive industrial processes to sophisticated robotic systems capable of adaptive, context-aware decision-making. In robotics and AI, automation enables machines to handle manufacturing assembly, agricultural operations, construction, rehabilitation therapy, materials discovery, and service industries with increased speed, precision, and consistency. Techniques such as motion planning, kinematic modeling, simulation frameworks, and cloud-connected control architectures form the technical backbone of modern automated systems. The significance of automation extends beyond efficiency gains: it reshapes labor markets, augments human capabilities in high-risk or physically demanding environments, and accelerates scientific discovery in domains like clean energy. As AI advances, automated systems become increasingly intelligent and flexible, making understanding their foundations essential for engineers and researchers designing the next generation of human-machine collaborative solutions.
Top Researchers
Top Cited Papers
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2013 IEEE International Conference on Robotics and Automation
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2006 IEEE International Conference on Robotics and Automation
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2000 IEEE International Conference on Robotics and Automation
八木 康史
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2021 IEEE International Conference on Robotics and Automation (ICRA)
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Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]
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Automation, Production Systems, and Computer-Integrated Manufacturing,
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2014 IEEE International Conference on Robotics and Automation (ICRA)
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