基于图像处理的辨识智能人形机器人控制系统设计
Design of Identification Intelligent Humanoid Robot Control System Based on Image Processing

在多样化的机器人应用场景中，智能人形机器人控制系统已成为当前研究的热点。通过结合数字图像处理技术、计算机视觉原理以及模式识别方法，本文实现了一款高效能、自动化程度高的辨识智能人形机器人控制系统设计。在硬件设计方面，本文结合了伺服电机的精密控制与力矩输出特性，实现了机器人关节的平滑连贯动作。在软件设计方面，软件整体程序采用模块化函数的编程思想，根据硬件设计按照功能不同分好模块进行相应子函数模块编程，主要分为三个时期：系统各模块的初始化、读取MPU6050传感器的数据、动作组程序控制、辨识功能实现(颜色识别、人脸识别等)。测试结果显示，该系统在对颜色目标的追踪和人脸识别上均达到了90%以上的准确率。该智能人形机器人具备一定精度的辨识能力，运行稳定，功能完善，具有一定的应用前景。
In diverse robot application scenarios, intelligent humanoid robot control systems have become a current research hotpot. By combining digital image processing technology, computer vision principles, and pattern recognition methods, this paper realizes the design of an efficient and highly automated identification intelligent humanoid robot control system. In terms of hardware design, this article combines the precision control and torque output characteristics of servo motors to achieve smooth and coherent movements of robot joints. In terms of software design, the overall software program adopts the programming concept of modular functions. According to the hardware design, modules are divided into different functions for corresponding sub function module programming. It is mainly divided into three stages: initialization of system modules, reading data from MPU6050 sensors, control of action group programs, and implementation of recognition functions (color recognition, face recognition, etc.). The test results show that the system has achieved an accuracy rate of over 90% in tracking color targets and facial recognition. This intelligent humanoid robot has a certain degree of accuracy in identification, stable operation, complete functions, and has certain application prospects.