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Integration of ‘Central’ and ‘Peripheral’ Nervous Systems in Scrub Nurse Robot and Comparison Between ‘Voluntary’ and ‘Reflex’ Movements

机译:灌输护士机器人的“中央”和“周边”神经系统的整合,“自愿”与“反射”运动的比较

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We have developed a scrub nurse robot (SNR) system which is capable of helping surgery. We used C++ programming language to control the mechanical and sensory parts of SNR (peripheral nervous system), but selected UPPAAL to create a comprehensive surgery model (central nervous system) because surgical operations are very complex. To solve a problem that C++ and UPPAAL could not communicate with each other, we developed a software interface "DTRON". We verified that DTRON realized the communication. Furthermore, by comparison of simulated ‘voluntary’ and ‘reflex’ movements, the delay due to the ‘voluntary’ movements was found imperceptible and negligible because the signal transmission through DTRON took about 0.6 msec.
机译:我们开发了一种能够帮助手术的磨砂护士机器人(SNR)系统。我们使用C ++编程语言来控制SNR(周围神经系统)的机械和感官部分,但选择UPPAAL以创建综合手术模型(中枢神经系统),因为外科手术非常复杂。要解决C ++和UPPAAL无法互相通信的问题,我们开发了一个软件接口“DTRON”。我们核实DTRON实现了通信。此外,通过比较模拟的“自愿”和“反射”运动,因此发现了“自愿”运动导致的延迟,因为DTRON的信号传输占据了0.6毫秒的信号传输。

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