• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

工业机器人无外部测量仪器运动参数辨识方法的开发与实验研究。

Development and Experimental Studies of an Identification Method of Kinematic Parameters for Industrial Robots without External Measuring Instruments.

机构信息

Laboratory of Intelligent Information Systems for Marine Robots, Institute of Marine Technology Problems, 690091 Vladivostok, Russia.

Robotics Laboratory, Institute of Automation and Control Processes, 690041 Vladivostok, Russia.

出版信息

Sensors (Basel). 2022 Apr 28;22(9):3376. doi: 10.3390/s22093376.

DOI:10.3390/s22093376
PMID:35591065
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9102956/
Abstract

This paper proposes a method for the identification of kinematic parameters of multilink series industrial robots, which does not require the use of complex and expensive equipment for high-precision external measurements of the position and orientation of an end effector in a Cartesian coordinate system. This method, by means of simple and affordable tools, enables us to achieve a significantly increased accuracy of movement of end effectors in serial robots performing various technological operations. The proposed method is experimentally verified and can be applied directly in production lines.

摘要

本文提出了一种多连杆串联工业机器人运动参数识别方法,该方法不需要使用复杂且昂贵的设备对笛卡尔坐标系中末端执行器的位置和姿态进行高精度外部测量。通过使用简单且经济实惠的工具,该方法能够显著提高执行各种技术操作的串联机器人末端执行器的运动精度。所提出的方法经过实验验证,可直接应用于生产线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/2c1a2cb00d16/sensors-22-03376-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/b011ff3be810/sensors-22-03376-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/97adb6878bed/sensors-22-03376-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/6d04503def9a/sensors-22-03376-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/f3afe6ed572e/sensors-22-03376-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/bf183bc4e9a5/sensors-22-03376-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/35fc98aa6b7a/sensors-22-03376-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/d21c226662fe/sensors-22-03376-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/950c9801c07e/sensors-22-03376-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/1dab3c371c97/sensors-22-03376-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/2c1a2cb00d16/sensors-22-03376-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/b011ff3be810/sensors-22-03376-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/97adb6878bed/sensors-22-03376-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/6d04503def9a/sensors-22-03376-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/f3afe6ed572e/sensors-22-03376-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/bf183bc4e9a5/sensors-22-03376-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/35fc98aa6b7a/sensors-22-03376-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/d21c226662fe/sensors-22-03376-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/950c9801c07e/sensors-22-03376-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/1dab3c371c97/sensors-22-03376-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d912/9102956/2c1a2cb00d16/sensors-22-03376-g010.jpg

相似文献

1
Development and Experimental Studies of an Identification Method of Kinematic Parameters for Industrial Robots without External Measuring Instruments.工业机器人无外部测量仪器运动参数辨识方法的开发与实验研究。
Sensors (Basel). 2022 Apr 28;22(9):3376. doi: 10.3390/s22093376.
2
Precision Denavit-Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches.基于激光跟踪仪系统和智能优化方法的工业机器人精度 Denavit-Hartenberg 参数标定。
Sensors (Basel). 2023 Jun 6;23(12):5368. doi: 10.3390/s23125368.
3
Fast Kinematic Re-Calibration for Industrial Robot Arms.工业机械臂的快速运动学重新校准。
Sensors (Basel). 2022 Mar 16;22(6):2295. doi: 10.3390/s22062295.
4
A new full pose measurement method for robot calibration.一种新的机器人校准全姿态测量方法。
Sensors (Basel). 2013 Jul 16;13(7):9132-47. doi: 10.3390/s130709132.
5
[Kinematics parameter identification and accuracy evaluation method for neurosurgical robot].[神经外科手术机器人运动学参数辨识与精度评估方法]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2019 Dec 25;36(6):994-1002. doi: 10.7507/1001-5515.201810054.
6
A Framework for Inclusion of Unmodelled Contact Tasks Dynamics in Industrial Robotics.工业机器人中未建模接触任务动力学的综合框架。
Sensors (Basel). 2022 Oct 9;22(19):7650. doi: 10.3390/s22197650.
7
Estimation of the Kinematics and Workspace of a Robot Using Artificial Neural Networks.基于人工神经网络的机器人运动学和工作空间估计。
Sensors (Basel). 2022 Oct 31;22(21):8356. doi: 10.3390/s22218356.
8
Shape Sensing of Hyper-Redundant Robots Using an AHRS IMU Sensor Network.基于 AHRS IMU 传感器网络的超冗余机器人形状感知。
Sensors (Basel). 2022 Jan 4;22(1):373. doi: 10.3390/s22010373.
9
New Method and Portable Measurement Device for the Calibration of Industrial Robots.新型工业机器人校准方法及便携测量装置。
Sensors (Basel). 2020 Oct 20;20(20):5919. doi: 10.3390/s20205919.
10
An Improved Design of the MultiCal On-Site Calibration Device for Industrial Robots.工业机器人多相机现场校准装置的改进设计。
Sensors (Basel). 2023 Jun 19;23(12):5717. doi: 10.3390/s23125717.

引用本文的文献

1
On the importance of precision in cortical bone drilling: Integrating experimental validation and computational modeling.论皮质骨钻孔精度的重要性:整合实验验证与计算建模
J Orthop. 2024 May 13;56:70-76. doi: 10.1016/j.jor.2024.05.016. eCollection 2024 Oct.
2
Energy Saving Planner Model via Differential Evolutionary Algorithm for Bionic Palletizing Robot.基于差分进化算法的仿生码垛机器人节能规划模型。
Sensors (Basel). 2022 Oct 5;22(19):7545. doi: 10.3390/s22197545.