| 注册
首页|期刊导航|南京航空航天大学学报(自然科学版)|面向月面与人协作的仿人臂动力学参数辨识

面向月面与人协作的仿人臂动力学参数辨识

刘茜 黄亚宇 李大珩 申洲 付云瑾 孙佳 王鹏

南京航空航天大学学报(自然科学版)2026,Vol.58Issue(3):501-510,10.
南京航空航天大学学报(自然科学版)2026,Vol.58Issue(3):501-510,10.DOI:10.16356/j.2097-6771.2026.03.003

面向月面与人协作的仿人臂动力学参数辨识

Dynamic Parameter Identification of Humanoid Arm for Lunar Surface Human-Robot Collaboration

刘茜 1黄亚宇 2李大珩 1申洲 3付云瑾 2孙佳 1王鹏2

作者信息

  • 1. 中国科学院自动化研究所多模态人工智能系统全国重点实验室,北京 100190
  • 2. 中国科学院自动化研究所多模态人工智能系统全国重点实验室,北京 100190||中国科学院大学人工智能学院,北京 100049
  • 3. 中科硅纪(南京)机器人有限公司,南京 211135
  • 折叠

摘要

Abstract

To ensure the safe and precise collaboration between humanoid robotic arms and astronauts in the lunar environment,this paper investigates a six-degree-of-freedom(6-DOF)humanoid arm and proposes a dynamic parameter identification method based on its dynamic characteristics.First,the kinematic and dynamic models of the humanoid arm are established.For the extremely low-speed collaborative scenarios,the dynamic model is simplified to obtain the minimal set of composite gravitational parameters and its corresponding gravity regressor matrix.Second,the trajectory optimization objective is set to maximize the feasible parameter space of the gravity regression matrix,with constraints incorporating the humanoid arm's motion limits and collision avoidance.Finally,simulations and experiments are conducted in both a simulated lunar gravity environment and an earth gravity environment.The results show that the average percentage error of the calculated joint torques after identification is only 5.5%in the lunar simulation and the mean absolute error of the joint torques is significantly smaller than the average noise amplitude in the experimental validation.Results demonstrate that the dynamic model established by the proposed identification method can accurately reflect the dynamic characteristics of the humanoid arm during extremely low-speed motion.

关键词

仿人臂/月面机器人/参数辨识/动力学建模

Key words

humanoid arm/lunar service robot/parameter identification/dynamics modeling

分类

信息技术与安全科学

引用本文复制引用

刘茜,黄亚宇,李大珩,申洲,付云瑾,孙佳,王鹏..面向月面与人协作的仿人臂动力学参数辨识[J].南京航空航天大学学报(自然科学版),2026,58(3):501-510,10.

基金项目

国家自然科学基金青年科学基金(62303454). (62303454)

南京航空航天大学学报(自然科学版)

1005-2615

访问量0
|
下载量0
段落导航相关论文