Path_Planning_Algo_with_Animations/Model-free Control/motion_model.py

import env


class Motion_model():
    def __init__(self, xI, xG):
        self.env = env.Env(xI, xG)
        self.obs = self.env.obs_map()

    def move_next(self, x, u, eta=0.2):
        """
        Motion model of robots,

        :param x: current state (node)
        :param u: input
        :param obs: obstacle map
        :param eta: noise in motion model
        :return: next states and corresponding probability
        """

        p_next = [1 - eta, eta / 2, eta / 2]
        x_next = []
        if u == (0, 1):
            u_real = [(0, 1), (-1, 0), (1, 0)]
        elif u == (0, -1):
            u_real = [(0, -1), (-1, 0), (1, 0)]
        elif u == (-1, 0):
            u_real = [(-1, 0), (0, 1), (0, -1)]
        else:
            u_real = [(1, 0), (0, 1), (0, -1)]

        for act in u_real:
            x_check = (x[0] + act[0], x[1] + act[1])
            if x_check in self.obs:
                x_next.append(x)
            else:
                x_next.append(x_check)

        return x_next, p_next