Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Manipulator Control System Based on the Flexible Sensor Technology

Version 1 : Received: 5 July 2023 / Approved: 6 July 2023 / Online: 6 July 2023 (11:42:59 CEST)

A peer-reviewed article of this Preprint also exists.

Chen, J.; Wang, C.; Chen, J.; Yin, B. Manipulator Control System Based on Flexible Sensor Technology. Micromachines 2023, 14, 1697. Chen, J.; Wang, C.; Chen, J.; Yin, B. Manipulator Control System Based on Flexible Sensor Technology. Micromachines 2023, 14, 1697.

Abstract

With the development of artificial intelligence technology, manipulators, as an important part of the work of intelligent robots, can replace humans to perform various complex tasks. In recent years, there have been many studies on the remote control of manipulators using various control technologies. Starting from the manufacturing materials of flexible sensors used for manipulators, this paper introduces the base materials, sensing materials, and flexible electrode materials of flexible sensors, respectively, and summarizes the performance of flexible sensors made based on the characteristics of different materials. The basic principles of dipping and coating, lithography, inkjet printing, screen printing, 3D printing and so on are introduced from the perspective of flexible sensor manufacturing process. Some different functions of sensors achieved by different structural designs, such as: tensile cracking, microchannels, etc. are also introduced. Then, from the perspective of recognition accuracy of the manipulator, two kinds of control methods based on flexible sensor by data glove control and surface EMG control are classified and introduced, and the problems existing in three aspects of flexible sensor material preparation, manufacturing process and control series design are summarized. Finally, the possible future research directions in this field are suggested.

Keywords

manipulator control; flexible sensor; manufacturing process; gesture recognition; EMG control; data gloves

Subject

Engineering, Bioengineering

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