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Editorial for Special Issue on Embodied Intelligence
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作者 Wei He Chenguang Yang +3 位作者 Long Cheng Zhichuang Wang Jin Wu Luka Peternel 《Machine Intelligence Research》 2025年第4期585-587,共3页
Embodied intelligence emphasizes the synergy between body,mind,and environment,offering a powerful framework for building more adaptive and interactive intelligent systems.Over the past decade,rapid advancements in ar... Embodied intelligence emphasizes the synergy between body,mind,and environment,offering a powerful framework for building more adaptive and interactive intelligent systems.Over the past decade,rapid advancements in artificial intelligence have driven remarkable achievements in perception,planning,and control tasks,particularly through the rise of deep learning.However,embodied intelligence–the integration of AI with a physical body interacting in real environments–remains a relatively underexplored frontier.Unlike disembodied systems that rely solely on static datasets,embodied agents learn through real-time interaction with their surroundings,leveraging perception-action loops to adaptively understand and manipulate the world.Inspired by human cognition,embodied intelligence emphasizes learning by doing,thereby offering the potential to generalize knowledge across tasks,environments,and sensorimotor experiences. 展开更多
关键词 deep learninghoweverembodied intelligence PERCEPTION planning embodied intelligence interactive intelligent systemsover artificial intelligence integration ai physical body
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