飞控与探测2026，Vol.9Issue(4)：1-24,24.DOI:10.20249/j.cnki.2096-5974.2026.04.001
空间非合作目标智能感知与安全操控:进展与展望
Intelligent Perception and Safe Manipulation of Space Non-Cooperative Targets:Advances and Prospects
摘要
Abstract
As human space activities become increasingly frequent,the accumulation of non-coop-erative targets in space,such as defunct satellites,rocket debris,and space debris,poses a severe threat to the operational safety of in-orbit spacecraft.There is an urgent need to develop efficient and reliable on-orbit manipulation technologies to address orbital resource constraints and collision risks.This paper systematically summarizes research progress and future directions in the field of intelligent perception and safe manipulation of space non-cooperative targets.For target intelligent perception,this paper reviews core aspects,including pose estimation,3D reconstruction,and component recognition of non-cooperative targets,highlighting the breakthrough contributions of deep learning and multi-modal fusion technologies in enhancing perception accuracy and robustness.At the robotic manipulation level,this paper delves into key technologies such as mo-tion planning,compliance control,and composite control,providing an in-depth analysis of the challenges and solutions for safely capturing non-cooperative targets in dynamic environments.Furthermore,we review the current status of non-cooperative target datasets and typical experi-mental validation platforms worldwide,offering foundational support for technology implementa-tion.Finally,potential future research directions in intelligent perception and safe manipulation of space targets are outlined.关键词
空间非合作目标/位姿估计/三维重建/特征识别/运动规划/柔顺操控/组合体控制Key words
space non-cooperative targets/pose estimation/3D reconstruction/component recogni-tion/motion planning/compliant manipulation/combined spacecraft control分类
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胡庆雷,吴晗,李远东,朱庆华,邵小东..空间非合作目标智能感知与安全操控:进展与展望[J].飞控与探测,2026,9(4):1-24,24.基金项目
国家自然科学基金(U24B20157,62473026) （U24B20157,62473026）
空间智能控制技术全国重点实验室2024国防科工局稳定支持基金项目(HTKJ2024KL502010) （HTKJ2024KL502010）
北京市高层次创新创业人才支持计划科技新星计划 （）
