如何通过C++开发实现智能机器人应用？

#include <iostream>

int main() {
    std::string command;
    std::cout << "请输入指令：" << std::endl;
    std::cin >> command;
    std::cout << "您输入的指令是：" << command << std::endl;
    return 0;
}

#include <iostream>
#include <string>

std::string getResponse(const std::string& input) {
    std::string response = "";
    if (input == "你好") {
        response = "你好，我是智能机器人！";
    } else if (input == "你叫什么名字") {
        response = "我叫小智。";
    } else if (input == "退出") {
        response = "再见！";
    } else {
        response = "对不起，我不明白您的意思。";
    }
    return response;
}

int main() {
    std::string input;
    std::cout << "您好，请开始您的提问：" << std::endl;
    while (true) {
        std::getline(std::cin, input);
        if (input.empty()) continue;  // 忽略空白输入
        if (input == "退出") break;
        std::string response = getResponse(input);
        std::cout << response << std::endl;
    }
    std::cout << "再见！" << std::endl;
    return 0;
}

#include <iostream>
#include <opencv2/opencv.hpp>

int main() {
    cv::VideoCapture capture(0);
    cv::CascadeClassifier faceCascade;
    faceCascade.load("haarcascade_frontalface_default.xml");
    cv::Mat frame;
    while (true) {
        capture >> frame;
        cv::Mat grayFrame;
        cv::cvtColor(frame, grayFrame, cv::COLOR_BGR2GRAY);
        std::vector<cv::Rect> faces;
        faceCascade.detectMultiScale(grayFrame, faces, 1.1, 2, 0 | cv::CASCADE_SCALE_IMAGE, cv::Size(30, 30));
        for (const auto& face : faces) {
            cv::rectangle(frame, face, cv::Scalar(0, 255, 0), 2);
        }
        cv::imshow("人脸识别", frame);
        if (cv::waitKey(30) >= 0) break;
    }
    return 0;
}