World

Simulate the grid-based world, full of robots

The World is where all of the simulation happens. Robots are added to the World, and the Viewer and Logger refer to a World to draw the simulation and save data.

Once the World is created and you have added your robots, you will likely only need to call the step() method.

class gridsim.world.World(width: int, height: int, robots: List[gridsim.robot.Robot] = [], environment: str = '', allow_collisions: bool = True, observation_stdev: float = 0.0)

A simulated 2D grid world for simulated Robots.

Parameters
  • width (int) – Width of the world (number of cells)

  • height (int) – Height of the world (number of cells)

  • robots (List[Robot], optional) – List of Robots to place in the World to start, by default []. Additional robots can be added after initialization with the add_robot() method.

  • environment (str, optional) – Filename of an image to use for a background in the World. Robots will be able to sense the color of this image. If the environment dimensions do not match the World dimensions, the image will be re-scaled (and possibly stretched). I recommend using an image with the same resolution as your grid size. This supports using ~ to indicate the user home directory.

  • allow_collisions (bool, optional) – Whether or not to allow Robots to exist in the same grid cell, by default True.

  • observation_stdev (float, optional) – If 0 (this is the default), observations will return the exact RGB value of environment image in each cell. If non-zero (should be >= 0), each component of the observations will be drawn from a normal distribution with mean at the image value, and using this standard deviation. If no image is provided as the environment, observations will be returned as 0s, regardless of the observation_std.

add_environment(img_filename: str)

Add an image to the environment for the Robots to sense. This will also be shown by the Viewer.

Because sensing is cell-based, images will be scaled to the size of the World’s grid. If the aspect ratio does not match, images will be stretched. To avoid any surprises from rescaling, I recommend using an image with the same resolution as your grid size. (e.g., if you have a 50x50 grid, use a 50px x 50px image.)

Parameters

img_filename (str) – Filename of the RGB image to use as a background environment. Any transparency (alpha) is ignored by the robot sensing.

add_robot(robot: gridsim.robot.Robot)

Add a single robot to the World. Robots can also be added in bulk (as a list) when the World is created, using the robots keyword.

Parameters

robot (Robot) – Robot to add to the World

count_tags() → int

Count the total number of tagged cells in the World. This is useful for seeing (for example) how many cells in the World have been observed.

Returns

Number of cells that have been tagged in the World (using the tag() method).

Return type

int

get_dimensions() → Tuple[int, int]

Get the dimensions (in grid cells) of the World

Returns

(width, height) of the World, in grid cells

Return type

Tuple[int, int]

get_robots() → pygame.sprite.Group

Get a list of all the robots in the World

Returns

All Robots currently in the World

Return type

pygame.sprite.Group

get_time() → float

Get the current time of the World. At the moment, that’s just the number of ticks (time steps) since the simulation started, since this is a discrete-time world.

Returns

Number of ticks (steps) since simulation started

Return type

float

step()

Run a single step of the simulation. This moves the robots, manages the clock, and runs the robot controllers.

tag(pos: Tuple[int, int], color: Optional[Tuple[int, int, int]] = None)

Tag a cell position in the World with an RGB color to display in the viewer. There will be a semi-transparent overlay with the given color in that cell in the World. This is primarily for use with the Viewer, to visualize what has been sampled in the World.

Parameters
  • pos (Tuple[int, int]) – (x, y) grid cell position to mark.

  • color (Tuple[int, int, int] or None, optional) – (R, G, B) color to set as the cell’s overlay color (each in the range [0, 255]). If you use None instead of a color, this will clear the tag. (If no tag is set at that position, nothing will happen.)

Raises

ValueError – If you give an invalid color, or if you try to tag a position outside the World