Developing a Digital Twin Framework for Monitoring the Trajectory of the UR10 Robot Using an Extended Kalman Filter

被引：0
|
作者：
Alham, Ramy [1 ,2 ]
Hammadi, Moncef [3 ]
机构：
[1] Université de Toulon, La Garde, France
[2] Norwegian University of Science and Technology, Trondheim, Norway
[3] QUARTZ Lab EA7393, ISAE-SUPMECA, Saint-Ouen,93400, France
来源：
2023 6th International Conference on Robotics, Control and Automation Engineering, RCAE 2023 | 2023年
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Accident prevention - Fault detection - Industrial research - Industry 4.0 - Jacobian matrices - Robots - State estimation
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收藏
页码：86 / 91
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