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目的 为了提高航天员与自主星球车在行星表面协同作业过程中的安全性,避免因缺乏位置信息而引发的碰撞风险,需要实时测量人与车之间的相对位置以辅助星球车自主行驶。方法 针对行星表面环境和典型星球车结构特点,搭建了以车体底部激光雷达和惯性测量单元为主的航天员-自主星球车相对位置测量系统。将激光测距与车身姿态、行驶滑转分析相结合,以提高星球车在复杂行星表面行驶时的相对位置测量精度。结果 通过在模拟行星试验场内开展人-车协同作业模拟试验,对星球车样机在静态和动态场景下相对位置测量方法的精度和实时性进行测试。试验结果表明,本研究提出的相对位置测量系统简单可靠,能在常见场景中均保持较高的测距精度,且角度测量误差较小,有效降低了航天员与星球车协同作业过程中的移动碰撞风险。结论 基于车体底部激光雷达的相对位置测量方法能够有效获取航天员与自主星球车的相对位置信息,为协同作业中星球车自主移动和防碰撞决策系统的开发提供数据支撑。
Abstract:Objective To enhance the safety of collaborative operations between astronauts and autonomous planetary rovers on planetary surfaces, and to mitigate collision risks arising from insufficient positional awareness, realtime measurement of the relative position between personnel and vehicles is essential for enabling autonomous rover navigation. Methods In response to the unique characteristics of planetary surfaces and typical rover structures, a relative position measurement system for astronauts and autonomous planetary rovers was developed, primarily based on a downward-facing LiDAR and an inertial measurement unit(IMU). The system integrates laser ranging with vehicle posture estimation and slip-traction analysis to improve the accuracy of relative position sensing under complex terrain conditions. Results Simulated astronaut-rover collaborative operations were conducted in a simulated planetary test field to evaluate the precision and real-time performance of the proposed method under both static and dynamic scenarios. Results indicate that the system is simple, reliable, and maintains high ranging accuracy across common operational scenarios, with minimal angular measurement error, thereby significantly reducing the risk of mobile collisions between astronauts and autonomous planetary rovers during collaborative operations. Conclusion The LiDAR-based relative position measurement method can effectively capture the spatial relationship between astronauts and autonomous planetary rovers, providing critical data support for the development of autonomous movement and collision-avoidance decision-making systems in collaborative planetary missions.
[1]初建杰,原炳坤,王刚,等.基于SysML的载人月球探测任务人-系统整合设计研究[J].机械设计, 2025, 42(7):213-218. DOI:10.13841/j.cnki.jxsj.2025.07.023.
[2]王文跃,王刚,靳捷,等.基于模型的载人月球探测人机功能分配方法研究[J].载人航天, 2024, 30(5):684-692. DOI:10.3969/j.issn.1674-5825.2024.05.016.
[3]谷程鹏,张文奇,韩亮亮,等.面向载人月球探测的航天员-多机异构群联合探测方案[J].载人航天, 2024, 30(5):693-702. DOI:10.3969/j.issn.1674-5825.2024.05.017.
[4]张崇峰,王慎泉,韩亮亮.载人月球探测月面活动机器人的发展机遇及关键技术[J].载人航天, 2024, 30(5):553-561. DOI:10.3969/j.issn.1674-5825.2024.05.002.
[5]HADY GG, ABIGAIL CD, SEBASTIAN H, et al. ALCIDES:a novel lunar mission concept study for the demonstration of enabling technologies in deep-space exploration and human-robots interaction[J]. Acta Astronaut, 2018, 151:270-283. DOI:10.1016/j.actaastro.2018.06.004.
[6]陈善广,王春慧.月面人机联合探测的人因学问题[J].前瞻科技,2024, 3(1):22-33. DOI:10.3981/j.issn.2097-0781.2024.01.002.
[7]陈善广,张宜静,李志忠,等.复杂人机紧耦合系统人因安全基本科学问题[J].航天医学与医学工程, 2025, 36(1):1-6. DOI:10.16289/j.cnki.1002-0837.2025.01001.
[8]朱珂,李彦欣,王丹,等.载人月球探测月面通信网总体架构及关键技术研究[J].宇航学报, 2023, 44(9):1423-1435. DOI:10.3873/j.issn.1000-1328.2023.09.015.
[9]WAN WH, WANG J, LIU ZQ, et al. Visual localization and topographic mapping for zhurong rover in tianwen-1 Mars mission[J]. IEEE J-STARS, 2025, 18:6393-6408. DOI:10.1109/JSTARS.2025.3540377.
[10]王鹏基,邢琰,孙赫婕,等.载人月球探测混合现实遥操作控制总体方案研究[J].载人航天, 2021, 27(6):681-687. DOI:10.3969/j.issn.1674-5825.2021.06.002.
基本信息:
DOI:10.16289/j.cnki.1002-0837.2026.03013
中图分类号:V528
引用信息:
[1]贾志成,金敬福,稽周,等.提高航天员与自主星球车协同作业安全性的防碰撞相对位置测量系统[J].航天医学与医学工程,2026,37(03):305-309.DOI:10.16289/j.cnki.1002-0837.2026.03013.
基金信息:
国家自然科学基金(52075217)
2026-06-25
2026-06-25