Example #1
0
def Unpenalized():
    global phase
    global playertype

    memProxy.insertListData([['dntBallDist', '', 0], ['dntPhase', 'ReturnField', 0]])

    # if case this nao is a keeper, convert to player until state changes to initial/ready/set, where it is set to keeper again
    playertype = 0
    
    visThread.startScan()
    # so no matter what, it's always good to walk forward (2 meters, to the center of the field)
    if not(mot.isWalking()):
        mot.postWalkTo(2, 0, 0)
    phase = 'ReturnField'
Example #2
0
def UnpenalizedKeep():
    global phase
    global ball_loc
    global position
    
    if color == 0:
        desiredPosition = [0, 2, 0]
    else:
        desiredPosition = [6, 2, math.pi]
    
    goal = vis.scanCircleGoal()
    localize( goal, 'Goal' , desiredPosition )
    
    print 'At position', position
    
    x1,y1,t1 = position
    x2,y2,t2 = desiredPosition
    
    # walk straight towards a goal if you see one
    mot.postWalkTo( x2-x1,y2-y1, minimizedAngle( (t2-t1)-math.pi ) )
Example #3
0
def BallNotFound():
    global ball_loc
    global phase
    global control
    
    # if this is the first time the ball is not founnd
    if firstCall['BallNotFound']:
        memProxy.insertData('dntPhase', 'BallNotFound')
        memProxy.insertData('dntBallDist', 0)    
        ledProxy.fadeRGB('RightFaceLeds',0x00ff0000, 0) # no ball, led turns red
        mot.killWalk()
        firstCall['BallNotFound'] = False
        control = [0,0,0]
        
    # try to find a ball
    if vis.scanCircle(visThread, 0.2):
        phase = 'BallFound'
        firstCall['BallNotFound'] = True
    else:
        # if no ball is found circle slowly while searching for it
        mot.postWalkTo(0, 0, 1.3)
Example #4
0
def BallFound():
    global phase
    global control
    
    seen = False
    
    # FIND A BALL #
    ball = visThread.findBall()
    if ball:
        seen = True

    ball = kalmanFilterBall.iterate(ball, control)
    (x,y) = ball
    memProxy.insertData('dntPhase', 'BallFound')
    memProxy.insertData('dntBallDist', math.sqrt(x**2 + y**2))
        
    if firstCall['BallFound']:
        ledProxy.fadeRGB('RightFaceLeds', 0x0000ff00, 0)
        firstCall['BallFound'] = False
        # initialize mean mu for kalman filter
        if seen:
            kalmanFilterBall.setFirstCall(True, ball)
        
    if seen and x < 0.17 and -0.02 < y < 0.02:
        print 'Kick'
        # BLOCKING CALL: FIND BALL WHILE STANDING STILL FOR ACCURATE CORRECTION
        mot.killWalk()
        control = [0,0,0]
        phase = 'Kick'           
    else:            
        if seen:
            print 'Seen ball', x,y 
            # hacked influencing of perception, causing walking forward to have priority
            theta = math.atan(y/x) / 2.5
            x = 3 * (x-0.17)
            
            if  -0.1 < y < 0.1 :
                y = 0.5 * y
            else:
                y = 2.0 * y
        else:
            print 'Not seen ball',x,y
            # find the 'ideal' headposition based on the kalman filter position
            # (yaw, pitch) = vis.calcHeadAngle( (x,y), (320,480), True)
            # mot.changeHead( yaw * 0.5, pitch * 0.5 )
            
            # hacked influencing, turn towards last found position first
            theta = math.atan(y/x) / 2.0
            x = (x/3.0 -0.2)
            y = 0

        mot.SWTV(x , y, theta, 1.0)
        
        # maxXSpeed 8 cm / s for nao 
        vX = max(-1, min(1,x)) * 0.08
        # maxYSppeed is the same
        vY = max(-1, min(1, y)) * 0.08
        # maxTSpeed 2pi / 8 s = 1/4 pi / s
        vT = max(-1, min(1, theta))* 0.25 * math.pi
        
        control = [vX,vY,vT]
            

    # If covariance becomes too large, when?
    if kalmanFilterBall.Sigma[0][0] > 4.0:
        
        print kalmanFilterBall.Sigma
        print 'Perhaps the ball is lost, turning ', y,'to find it' 
        mot.postWalkTo(0,0, math.atan(y / x))
        # TODO somehow influence kalman mu based on turn
        phase = 'BallNotFound'