当前位置:首页 >英文主页 >中英对照 > 中译版报告详情

IMT:2025具身智能(Embodied AI)概念、核心要素及未来进展:趋势与挑战研究报告(中译版)(25页).pdf

上传人: Y**** 编号:617412 2025-03-14 25页 96.21KB

下载:

1、Embodied Artificial Intelligence:Trends and Challenges Rolf Pfeifer and Fumiya Iida Artificial Intelligence Laboratory,Department of Informatics,University of Zurich Andreasstrasse 15,CH-8050 Zurich,Switzerland pfeifer,iidaifi.unizh.ch Abstract.The field of Artificial Intelligence,which started roug

2、hly half a cen-tury ago,has a turbulent history.In the 1980s there has been a major paradigm shift towards embodiment.While embodied artificial intelligence is still highly diverse,changing,and far from“theoretically stable”,a certain consensus about the important issues and methods has been achieve

3、d or is rapidly emerging.In this non-technical paper we briefly characterize the field,summarize its achievements,and identify important issues for future research.One of the fun-damental unresolved problems has been and still is how thinking emerges from an embodied system.Provocatively speaking,th

4、e central issue could be cap-tured by the question“How does walking relate to thinking?”1.Introduction This conference and this paper are about embodied artificial intelligence.If you search for“embodied artificial intelligence”or“embodied cognition”on the Internet using your favorite search engine,

5、you will find a radically smaller number of entries than if you search for“artificial intelligence”or“cognition”.Trying to answer this question of why this might be the case,reveals a lot about the structure of this research field and uncovering its organization is one of the goals of this paper.Ove

6、r the last 50 years Artificial Intelligence(AI)has changed dramatically from a computational discipline into a highly transdisciplinary one that incorporates many different areas.Embodied AI,because of its very nature of being about embodied systems in the real physical and social world,must deal wi

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
本文主要讨论了具身人工智能(Embodied Artificial Intelligence)的发展趋势和挑战。具身人工智能是一种将人工智能与机器人技术相结合的新兴领域,它强调智能系统与物理环境的紧密互动。文章首先概述了该领域的历史演变,从传统的符号处理方法到现代的具身方法,指出这一转变带来了研究主题、理论问题和学科领域的重大变化。接着,文章提出了该领域面临的三大挑战:理解行为、实现更高层次的智能和自动化设计方法。在理解行为方面,文章强调了生态平衡原则,即形态、材料、控制和环境互动之间的平衡,并指出需要更定量的方法来推动该领域成为真正的科学学科。在实现更高层次的智能方面,文章讨论了模仿学习的重要性,并指出通过身体互动来生成结构化的感官刺激是感知和认知发展的关键。最后,文章指出具身人工智能领域与多智能体系统、人工生命等领域的区别,并展望了该领域未来的发展方向和应用前景。
人工智能如何实现具身化? 具身化人工智能有哪些挑战? 具身化人工智能如何实现高级认知?
客服
商务合作
小程序
服务号
折叠