TY - JOUR
T1 - Navigating Embodied Intelligence
T2 - Enabling Technologies, Security and Privacy, and Emerging Trends
AU - Wang, Yuntao
AU - Niu, Xiaolin
AU - Ba, Jianle
AU - Su, Zhou
AU - Du, Linkang
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2026
Y1 - 2026
N2 - Driven by recent advances of large models and agents, embodied artificial intelligence (AI) emerges as a transformative paradigm for next-generation AI, endowing agents with physical forms and the ability to perceive, reason, and act within real-world environments. Unlike disembodied or virtual AI agent systems, embodied agents co-evolve cognition, control, and embodiment through continuous feedback loops, enabling applications ranging from humanoid robots to autonomous vehicles. In this survey, we first introduce a dual-brain architecture of embodied AI and examine its foundational technologies and key characteristics. We then analyze the security and privacy landscape, identifying critical vulnerabilities and evaluating existing/potential countermeasures. Finally, we outline emerging trends and open research directions in this emerging field, charting a roadmap toward efficient, secure, and ethically aligned embodied AI ecosystems.
AB - Driven by recent advances of large models and agents, embodied artificial intelligence (AI) emerges as a transformative paradigm for next-generation AI, endowing agents with physical forms and the ability to perceive, reason, and act within real-world environments. Unlike disembodied or virtual AI agent systems, embodied agents co-evolve cognition, control, and embodiment through continuous feedback loops, enabling applications ranging from humanoid robots to autonomous vehicles. In this survey, we first introduce a dual-brain architecture of embodied AI and examine its foundational technologies and key characteristics. We then analyze the security and privacy landscape, identifying critical vulnerabilities and evaluating existing/potential countermeasures. Finally, we outline emerging trends and open research directions in this emerging field, charting a roadmap toward efficient, secure, and ethically aligned embodied AI ecosystems.
KW - AI agents
KW - Embodied intelligence
KW - large models
KW - privacy
KW - security
UR - https://www.scopus.com/pages/publications/105026370709
U2 - 10.1109/JIOT.2025.3649049
DO - 10.1109/JIOT.2025.3649049
M3 - 文章
AN - SCOPUS:105026370709
SN - 2327-4662
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
ER -