Embodied navigation  

作　　者：Yunhao LIU Li LIU Yawen ZHENG Yunhuai LIU Fan DANG Ningbo LI Ke MA 

机构地区：[1]Tsinghua University,Beijing 100084,China [2]Peking University,Beijing 100871,China [3]Northwestern Polytechnical University,Xi’an 710072,China

出　　处：《Science China(Information Sciences)》2025年第4期224-262,共39页中国科学(信息科学)(英文版)

基　　金：supported in part by National Key Research Plan of China(Grant No.2021YFB2900100);National Natural Science Foundation of China(Grant Nos.62202263,62232004,61925202);Jiangsu Provincial Key Research and Development Program(Grant Nos.BE2022065-1,BE2022065-3)。

摘　　要：Navigation is a fundamental component of modern information application systems,ranging from military,transportations,and logistic,to explorations.Traditional navigations are based on an absolute coordination system that provides a precise map of the physical world,the locations of the moving objects,and the optimized navigation routes.In recent years,many new emerging applications have presented new demands for navigation,e.g.,underwater/underground navigations where no GPS or other localizations are available,an un-explored area with no maps,and task-oriented navigations without specific routes.The advances in IoT and AI enable us to design new navigation paradigms,embodied navigation that allows the moving object to interact with the physical world to obtain the local map,localize the objects,and optimize the navigation routes accordingly.We make a systematic and comprehensive review of research in embodied navigation,encompassing key aspects on perceptions,navigation and efficiency optimization.Beyond advancements in these areas,we also examine the emerging tasks enabled by embodied navigation which require flexible mobility in diverse and evolving environments.Moreover,we identify the challenges associated with deploying embodied navigation systems in the real world and extend them to substantial areas.We aim for this article to provide valuable insights into this rapidly developing field,fostering future research to close existing gaps and advance the development of general-purpose autonomous systems grounded in embodied navigation.

关 键 词：artificial intelligence Internet of Things embodied AI NAVIGATION PERCEPTION LLM 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]