/******************************************************************************* * Copyright 2014 See AUTHORS file. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. ******************************************************************************/ package com.badlogic.gdx.ai.steer.behaviors; import com.badlogic.gdx.ai.steer.Limiter; import com.badlogic.gdx.ai.steer.Steerable; import com.badlogic.gdx.ai.steer.SteeringAcceleration; import com.badlogic.gdx.ai.steer.SteeringBehavior; import com.badlogic.gdx.math.Vector; /** The {@code FollowFlowField} behavior produces a linear acceleration that tries to align the motion of the owner with the local * tangent of a flow field. The flow field defines a mapping from a location in space to a flow vector. Any flow field can be used * as the basis of this steering behavior, although it is sensitive to discontinuities in the field. * <p> * For instance, flow fields can be used for simulating various effects, such as magnetic fields, an irregular gust of wind or the * meandering path of a river. They can be generated by a simple random algorithm, a Perlin noise or a complicated image * processing. And of course flow fields can be dynamic. The only limit is your imagination. * <p> * Like {@link FollowPath}, this behavior can work in a predictive manner when its {@code predictionTime} is greater than 0. * * @param <T> Type of vector, either 2D or 3D, implementing the {@link Vector} interface * * @author davebaol */ public class FollowFlowField<T extends Vector<T>> extends SteeringBehavior<T> { /** The flow field to follow. */ protected FlowField<T> flowField; /** The time in the future to predict the owner's position. Set it to 0 for non-predictive flow field following. */ protected float predictionTime; /** Creates a non-predictive {@code FollowFlowField} for the specified owner. * @param owner the owner of this behavior */ public FollowFlowField (Steerable<T> owner) { this(owner, null); } /** Creates a non-predictive {@code FollowFlowField} for the specified owner and flow field. Prediction time defaults to 0. * @param owner the owner of this behavior * @param flowField the flow field to follow */ public FollowFlowField (Steerable<T> owner, FlowField<T> flowField) { this(owner, flowField, 0); } /** Creates a {@code FollowFlowField} with the specified owner, flow field and prediction time. * @param owner the owner of this behavior * @param flowField the flow field to follow * @param predictionTime the time in the future to predict the owner's position. Can be 0 for non-predictive flow field * following. */ public FollowFlowField (Steerable<T> owner, FlowField<T> flowField, float predictionTime) { super(owner); this.flowField = flowField; this.predictionTime = predictionTime; } @Override protected SteeringAcceleration<T> calculateRealSteering (SteeringAcceleration<T> steering) { // Predictive or non-predictive behavior? T location = (predictionTime == 0) ? // Use the current position of the owner owner.getPosition() : // Calculate the predicted future position of the owner. We're reusing steering.linear here. steering.linear.set(owner.getPosition()).mulAdd(owner.getLinearVelocity(), predictionTime); // Retrieve the flow vector at the specified location T flowVector = flowField.lookup(location); // Clear both linear and angular components steering.setZero(); if (flowVector != null && !flowVector.isZero()) { Limiter actualLimiter = getActualLimiter(); // Calculate linear acceleration steering.linear.mulAdd(flowVector, actualLimiter.getMaxLinearSpeed()).sub(owner.getLinearVelocity()) .limit(actualLimiter.getMaxLinearAcceleration()); } // Output steering return steering; } /** Returns the flow field of this behavior */ public FlowField<T> getFlowField () { return flowField; } /** Sets the flow field of this behavior * @param flowField the flow field to set * @return this behavior for chaining */ public FollowFlowField<T> setFlowField (FlowField<T> flowField) { this.flowField = flowField; return this; } /** Returns the prediction time. */ public float getPredictionTime () { return predictionTime; } /** Sets the prediction time. Set it to 0 for non-predictive flow field following. * @param predictionTime the predictionTime to set * @return this behavior for chaining. */ public FollowFlowField<T> setPredictionTime (float predictionTime) { this.predictionTime = predictionTime; return this; } // // Setters overridden in order to fix the correct return type for chaining // @Override public FollowFlowField<T> setOwner (Steerable<T> owner) { this.owner = owner; return this; } @Override public FollowFlowField<T> setEnabled (boolean enabled) { this.enabled = enabled; return this; } /** Sets the limiter of this steering behavior. The given limiter must at least take care of the maximum linear speed and * acceleration. * @return this behavior for chaining. */ @Override public FollowFlowField<T> setLimiter (Limiter limiter) { this.limiter = limiter; return this; } /** A {@code FlowField} defines a mapping from a location in space to a flow vector. Typically flow fields are implemented as a * multidimensional array representing a grid of cells. In each cell of the grid lives a flow vector. * * @param <T> Type of vector, either 2D or 3D, implementing the {@link Vector} interface * * @author davebaol */ public interface FlowField<T extends Vector<T>> { /** Returns the flow vector for the specified position in space. * @param position the position to map */ public T lookup (T position); } }