front-end / back-end: AIMPlanarSeekBounds
| PlanarSeekBounds
inherits from: AIMRadiusSteeringBehaviour
| RadiusSteeringBehaviour
front-end / back-end: AIMPlanarFleeBounds
| PlanarFleeBounds
inherits from: AIMRadiusSteeringBehaviour
| PlanarSeekBounds
Note that the inspector of Planar Flee Bounds is equivalent to the inspector of Planar Seek Bounds.
For many cases, the simple Seek behaviour might be sufficient, but for many other cases, the collider information of an object needs to be considered, too. Therefore, Planar Seek Bounds was made. Figure 1 illustrates the functionality of this behaviour. All receptors which face directly the percept's bounds receive a magnitude of 1, which may be interpreted as maximum danger. Every other receptor gets a magnitude of 0. Anyway, it is also possible to affect the adjacent receptors using Spread
, as shown in Figure 2. Planar Flee Bounds works exactly like Planar Seek Bounds except that it inverts the response direction. The general functionality of Planar Seek Bounds and Planar Flee Bounds is illustrated in Figure 1.
Figure 1: Shows the results of Planar Seek Bounds applied to four different agents. The dotted lines are examples to show how corners of the bounds are perceived.
This component has got the following specific properties.
Property | Description |
---|---|
Spread | The area which faces directly towards the percept's bounds always has a magnitude of 1. This parameter determines what happens to receptors which are near to this area. A value of 0 causes every other receptor to get a magnitude of 0, as against a value of 1 enables sensitivity mapping completely. |
BoundsType | The applied bounding box model: either axis-aligned bounding box (AABB) by collider, oriented bounding box (OBB) by collider or OBB by visual bounds (sprite/mesh). In order for this to work with meshes, a received object must not be static, or otherwise, no visual bounds can be received. For more details, have a look at the bounding box remarks in Planar Avoid Bounds. |
For a better control on how an agent avoids an obstacle, you can try to play around with the SensitivityOffset
in combination with the Spread
parameter, its effect can bee seen in Figure 2 below.
Figure 2: The effect of the Spread
parameter.
In contrast to Planar Seek Bounds, Planar Flee Bounds writes high magnitude values in the opposite direction facing away from a percept's boundary, but the result of the Spread
parameter is different than for Planar Seek Bounds. So, every receptor facing away from the percept's bounds gets a magnitude of 1. Then, these values are decreased by the given Spread
value which can be seen in Figure 3. Hence, it is possible to prioritize the opposite direction pointing away from bounds instead of just having a significant value for each direction which is not facing any bounds.
Figure 3: The difference between Planar Seek Bounds (green) and Planar Flee Bounds (red).