无人机具身智能综述OA

In recent years,with the deep integration of unmanned aerial vehicle(UAV)technology and embodied intelligence,low-altitude UAV has demonstrated great potential in fields such as smart logistics,urban inspec-tion,and disaster response,owing to their flexibility,multimodal perception,and autonomous decision-making capabilities.However,the complex and dynamic low-altitude environments,characterized by dense obstacles and meteorological disturbances,pose significant challenges to UAV in terms of perception accuracy,real-time decision-making,and system robustness.Although extensive research has been conducted on UAV embodied in-telligence,most efforts focus on isolated technical modules,lacking a systematic overview and cross-domain in-tegration.To address this gap,this paper provides a comprehensive review of key technologies and recent ad-vances in low-altitude UAV embodied intelligence from the perspective of the perception-decision-control loop.It summarizes the development of multimodal perception,task reasoning,physical interaction,and simulation-based training,and further discusses promising future research directions.