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基于力引导的空间舱外双臂机器人遥操作同步过程优化

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为提高空间舱外双臂机器人遥操作同步过程中操作效率,提出了一种基于力引导的遥操作同步过程优化方法.通过改进的蒙特卡洛法对双臂机器人协作的工作空间进行分析,提出了一种最优协作位置预测方法,并通过力引导方式,辅助引导遥操作双臂到达最优协作位置.实验结果表明:相比于只有视觉反馈的遥操作过程,同步过程优化后到达同步工作状态的时间减少了84.26%,同步过程通过的路径长度缩短了 35.43%;对比运动学引导方法,各项指标方差更小,稳定性更强.
Optimization of Extravehicular Dual-arm Robot Teleoperation Synchronization Process Based on a Force Guidance Strategy
To improve the efficiency in extravehicular dual-arm teleoperation synchronize process,an optimization method based on force guidance was put forward.Dual-arm robot collaboration work-space was analyzed using improved Monte-Carlo method and an optimized collaborating position pre-diction method was introduced.To reach the optimized collaborating position,operator was guided to teleoperate the two arms through force guidance.Experiments showed that compared to teleoperation process with visual feedback only,the operation cost 84.26%less time to establish a synchronization state,the path length within the synchronization process was reduced by 35.43%after synchroniza-tion process optimization;and had lower variance compared to KGT(Kinematic Guidance Teleopera-tion)method meaning stabler performance.

teleoperationMonte Carlo methodposition predictionforce guidancedual-armsynchronization process

汪建之、宋爱国、秦超龙

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东南大学仪器科学与工程学院,南京 210096

遥操作 蒙特卡洛法 位置预测 力引导 双臂 同步过程

国防基础科研项目南京市科技计划

JCKY2022110C040202208018

2024

载人航天
中国载人航天工程办公室

载人航天

CSTPCD北大核心
影响因子:0.411
ISSN:1674-5825
年,卷(期):2024.30(3)