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A Shanghai robotics firm, AgiBot, uses AI to let factory robots learn tasks in minutes, boosting flexibility in manufacturing.
AgiBot, a Shanghai-based robotics firm, has become the first to deploy reinforcement learning in real-world industrial manufacturing, using its Real-World Reinforcement Learning system on a Longcheer Technology production line.
The technology allows robots to learn new tasks in minutes instead of weeks, adapt to part variations and product changes with minimal human input, and maintain high precision without custom fixtures or recalibration.
The system enables faster, more flexible manufacturing, particularly beneficial in fast-changing industries like consumer electronics, marking a significant leap toward AI-driven, adaptive factory automation.
Una empresa de robótica de Shanghai, AgiBot, utiliza la IA para permitir que los robots de fábrica aprendan tareas en minutos, aumentando la flexibilidad en la fabricación.