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Research of multi-thread applications for real-time control systems on humanoid robot embedded platforms

机译:人形机器人嵌入式平台实时控制系统多线程应用研究

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Thanks to the evolution of science technology, lots of applications can be realized in humanoid robots. Race-based humanoid robot's related technologies have also become one of the most important issues in recent years, such as motion control system, environment perception, motion detection, highspeed visual processing, artificial intelligence, knowledge management, and intelligent control system. In order to attain these functions, a control platform is thus designed in this paper to integrate different distributed control systems of race-based humanoid robots. We not only integrate peripheral transmission hardware, but also design different Application Programming Interfaces (APIs) that enable artificial intelligent system to demand the subsystems through our embedded platform and simplify the communication processes among the subsystems. In addition to the above-mentioned systems, a real-time module is further designed to achieve real-time distributed processing. The aim of this paper is to propose a multi-thread programming for processes to cooperate with one another more efficiently. Our experiment results show that this multi-thread platform can decrease the response-time of I/O and enable humanoid robots to react much more rapidly and smoothly.
机译:由于科学技术的发展,在类人机器人中可以实现许多应用。基于种族的类人机器人的相关技术也已成为近年来最重要的问题之一,例如运动控制系统,环境感知,运动检测,高速视觉处理,人工智能,知识管理和智能控制系统。为了实现这些功能,本文设计了一个控制平台,以集成基于种族的类人机器人的不同分布式控制系统。我们不仅集成了外围传输硬件,还设计了不同的应用程序编程接口(API),这些接口使人工智能系统能够通过我们的嵌入式平台来要求子系统,并简化子系统之间的通信流程。除上述系统外,还设计了实时模块以实现实时分布式处理。本文的目的是为进程提供一种多线程编程,以使其更有效地相互协作。我们的实验结果表明,该多线程平台可以减少I / O的响应时间,并使类人机器人能够更快,更流畅地做出反应。

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