Sensor Fusion-Based Teleoperation Control of Anthropomorphic Robotic Arm

被引:3
|
作者
Yang, Xiaolong [1 ,2 ,3 ]
Chen, Furong [1 ,2 ,3 ]
Wang, Feilong [1 ,2 ,3 ]
Zheng, Long [1 ,3 ]
Wang, Shukun [2 ]
Qi, Wen [4 ]
Su, Hang [3 ,5 ]
机构
[1] Jilin Univ, Key Lab Engn Bion, Minist Educ, Changchun 130022, Peoples R China
[2] Changchun Univ Sci & Technol, Coll Mech & Elect Engn, Changchun 130022, Peoples R China
[3] Jilin Univ, Weihai Inst Bion, Weihai 264402, Peoples R China
[4] South China Univ Technol, Sch Future Technol, Guangzhou 511436, Peoples R China
[5] Politecn Milan, Dept Elect Informat & Bioengn, I-20133 Milan, Italy
关键词
sensor fusion; anthropomorphic robotic arm; teleoperation control;
D O I
10.3390/biomimetics8020169
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Sensor fusion is a technique that combines information from multiple sensors in order to improve the accuracy and reliability of the data being collected. In the context of teleoperation control of an anthropomorphic robotic arm, sensor fusion technology can be used to enhance the precise control of anthropomorphic robotic arms by combining data from multiple sensors, such as cameras, data gloves, force sensors, etc. By fusing and processing this sensing information, it can enable real-time control of anthropomorphic robotic arms and dexterous hands, replicating the motion of human manipulators. In this paper, we present a sensor fusion-based teleoperation control system for the anthropomorphic robotic arm and dexterous hand, which utilizes a filter to fuse data from multiple sensors in real-time. As such, the real-time perceived human arms motion posture information is analyzed and processed, and wireless communication is used to intelligently and flexibly control the anthropomorphic robotic arm and dexterous hand. Finally, the user is able to manage the anthropomorphic operation function in a stable and reliable manner. We also discussed the implementation and experimental evaluation of the system, showing that it is able to achieve improved performance and stability compared to traditional teleoperation control methods.
引用
收藏
页数:18
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