2376912457有没有小白就能操作的工智能游戏路径规划测试的平台

有的，你可以试试使用Python编程语言和SimPy模块来创建一个简单的路径规划模拟器。SimPy是一个Python库，用于建模、模拟和分析离散事件系统。它可以用于创建各种模拟器，包括路径规划模拟器。下面是一个简单的SimPy路径规划模拟器的示例代码：

import simpy

class PathPlanner:
    def __init__(self, env):
        self.env = env
        self.route = None
        self.action = env.process(self.run())

    def run(self):
        while True:
            # Wait for a new request
            request = yield self.env.process(self.receive_request())

            # Plan a route
            self.route = self.plan_route(request)

            # Wait for the route to be completed
            yield self.env.process(self.follow_route())

            # Notify the requester that the route is complete
            request['callback'](self.route)

    def receive_request(self):
        # Wait for a new request to be received
        yield self.env.timeout(1)
        # Return the request
        return {'start': (0, 0), 'end': (5, 5), 'callback': self.env.event()}

    def plan_route(self, request):
        # Plan a route from the start to the end
        return [(0, 0), (1, 1), (2, 2), (3, 3), (4, 4), (5, 5)]

    def follow_route(self):
        # Follow the planned route
        for point in self.route:
            yield self.env.timeout(1)

# Create the simulation environment
env = simpy.Environment()

# Create a path planner
planner = PathPlanner(env)

# Send a request to the path planner
request = {'start': (0, 0), 'end': (5, 5)}
route = yield env.process(planner.receive_request())
print('Route:', route)

这个示例代码创建了一个简单的路径规划模拟器，它可以接收来自其他模块的路径规划请求，并返回计算出的路径。你可以根据自己的需求进行修改和扩展