我们用三个方向的距离，把它们放进简单的神经网络输出至Jackal机器人。让它尝试不同的轨迹和方向，然后找到完美的路线，利用迭代学习与遗传 算法，从而达到完美的避障。该项目有着广泛的应用，如自动驾驶，如扫地机器人我们也可以看到Jackal变得越来越智能化连续学习，这是非常有趣的。(We use the distance from three directions and put them into the simple neural
network to output to the Jackal robot. By letting Jackal try different trajectories
and directions, and then find the perfect route, iterative learning with genetic
algorithm, so as to achieve the perfect obstacle avoidance.This project can have
a wide range of applications, such as auto driving, such as sweeping robots,
and we can also see Jackal becoming more and more intelligent in continuous
learning, which is very interesting.)