机器人系统的最优控制及语音-手语转写应用的软件开发

M. Campos-Trinidad, J. D. Carpio, E. López-Zapata, R. Salazar-Arévalo
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引用次数: 3

摘要

这篇论文展示了机器人类人手臂设计的部分工作,其目标是将听觉语言(通常使用)音译为听力障碍人士使用的手语。通过动力学分析,得到了臂上各关节实现伺服电机正确运动所需的转矩。除此之外,我们还编写了一个脚本,以便对语音识别进行一些测试,并开发了一个Android应用程序,作为一种更容易处理语音识别的工具。对于手指的控制,设计了一个以角度和角速度为状态变量的最优非线性控制器,其目的仅是控制直流电机的角度或位置,以实现手指的适当运动。
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Optimal control of a robotic system and software development for speech-to-sign language transliterating applications
The present paper shows the work done on part of the design of a robotic humanoid arm, whose objective is to perform the transliteration of sound language, commonly used, to sign language, used by people with hearing disabilities. Through a dynamic analysis it has been obtained the necessary torque for each joint in the arm to perform the correct movement of the servo motors. In addition to this, a script has been made in order to do some tests for speech-recognition and an Android application as a tool for an easier way to process it. For the control of the finger, it was designed an optimal nonlinear controller, which has as state variables the angle and the angular velocity, aiming only to the manipulation of the angle or position of the DC motor, for the purpose of an appropriate movement of the fingers.
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