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Design and Application of the Wireless Remote Control System of Carp Robots |
Peng Yong1,2#*, Wang Tingting1, Yan Yanhong2,3, Chen Zhiwang4, Wen Shuhuan3, Han Xiaoxiao1, Zhao Yang1, Liu Jianing1, Zhang Qian1 |
1(Department of Biomedical Engineering, College of Electrical Engineering, Yanshan University, Qinhuangdao Hebei 066004, China) 2 (National Defense Key Laboratory of Mechanical Structure and Materials Science Under Extreme Conditions, Yanshan University, Qinhuangdao Hebei 066004, China) 3(Department of Mechanical Design, College of Mechanical Engineering, Yanshan University, Qinhuangdao Hebei 066004, China) 4(Department of Automation, College of Electrical Engineering, Yanshan University, Qinhuangdao Hebei 066004, China) |
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Abstract To overcome the obstacle of wire winding and motion restraint of aquatic animal robots, a wireless remote control system for carp robot′s brain electric stimulation was designed in this study. The system hardware included the wireless communication module, the electric stimulation signal generation module and the power supply module. The system software included the serial port communication setting and the motion mode selection. In this study, the brain electrode was implanted and sealed on the surface of the skull cavity, and the radio stimulator was placed in the waterproof package, and the underwater wireless stimulator mounted on the carp robot was remotely controlled by the upper computer for electrical stimulation. The electric stimulator was used to send signals through the electrodes to stimulate the brain motion area and control the movement of carp robots. Then the carp robots (n=10) were placed in the water maze for underwater experiments. The results showed that the forward, left and right steering movements of carp robots could be controlled by this system, with success rates of 60%, 70%, and 80% respectively. Our study indicated that this system and application methods were effective and feasible for the underwater wireless control of carp robots.
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Received: 28 May 2018
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