void Update()
{
float vAxis = Input.GetAxisRaw("Vertical");
if (vAxis > 0)
{
critterMotor.MoveForward();
}
else
{
critterMotor.Stop();
}
float hAxis = Input.GetAxisRaw("Horizontal");
if (hAxis > 0)
{
critterMotor.TurnRight();
}
else if (hAxis < 0)
{
critterMotor.TurnLeft();
}
else
{
critterMotor.StopTurning();
}
}
void FixedUpdate()
{
float normalizedLife = critterSensors.SampleLife() / 100f;
float normalizedAntenaL = 5f / critterSensors.SampleAntenaL();
float normalizedAntenaR = 5f / critterSensors.SampleAntenaR();
float antenaDiferential = critterSensors.SampleAntenaL() - critterSensors.SampleAntenaR();
float[] input = new float[] {
normalizedLife,
antenaDiferential,
critterSensors.SampleAntenaL()
};
float[] output = neuralNetwork.Query(input);
float vAxis = output[0];
if (vAxis > 0.5f)
{
critterMotor.MoveForward();
}
else
{
critterMotor.Stop();
}
float hAxis = output[1];
if (hAxis > 0.66f)
{
critterMotor.TurnRight();
}
else if (hAxis < 0.33f)
{
critterMotor.TurnLeft();
}
else
{
critterMotor.StopTurning();
}
}