Exemplo n.º 1
0
modem = g.getModem()
simulator = NeuralModule("VivaeTest", modem)  # create NeuralModule which is able to add/remove agents

Controls = simulator.getControls()
# this starts the control services..
many = net.add(simulator)  # add it to the Nengo network

time.sleep(2)  # give it some time to init services

# Controls.loadMap('data/scenarios/arena2.svg')
# Controls.loadMap('data/scenarios/ushape.svg')
# Controls.loadMap('data/scenarios/arena1.svg')
Controls.loadMap("data/scenarios/arena1.svg")

Controls.addAgent("a", 4)
Controls.addAgent("b", 18)
Controls.addAgent("c", 18, 30, 50)
Controls.addAgent("d")  # adding more agents than is in the simulation
Controls.addAgent("e", 8)  # will result just in error message in console
Controls.addAgent("f", 20, 10, 50)  # these agents are not created
Controls.addAgent("g")
Controls.addAgent("h", 39)
Controls.addAgent("i", 22, 30, 1)
Controls.addAgent("j")

Controls.start()

##################################
################# wire the network
Exemplo n.º 2
0
################################## 
modem = g.getModem()
time.sleep(3)    # if the process is native, it takes longer time to init the services !!                 
simulator = NeuralModule('VivaeTest',modem)  # create NeuralModule which is able to add/remove agents

Controls = simulator.getControls();     # this starts the control services..
Controls.setVisible(False);
many=net.add(simulator)                 # add it to the Nengo network

#Controls.loadMap('data/scenarios/arena2.svg')  
#Controls.loadMap('data/scenarios/ushape.svg')
Controls.loadMap('data/scenarios/arena1.svg') 
#Controls.loadMap('data/scenarios/manyAgents.svg') 

Controls.addAgent('a',4)
Controls.addAgent('b',18)
Controls.addAgent('c',18,30,50)

"""
Controls.addAgent('d')
Controls.addAgent('e',8)
Controls.addAgent('f',20,10,50)
Controls.addAgent('g')
Controls.addAgent('h',39)
Controls.addAgent('i',22,30,1)
Controls.addAgent('j')
"""
#time.sleep(1);      # concurent modification exception
Controls.start()
Exemplo n.º 3
0
"""
Notes about agents: (see screenshot to this script)

Friction sensor [dots]
    -measures [binary] presence of ANY OBJECT (including grass)
    -black and blue lines gere
    -road=0, everything other=1

Distance sensor [lines]
    -measures [continuous] distance to the nearest OBSTACLE (not grass, not road)

Note: value 0 to sensor properties should add 0 sendors now
"""

#addAgent(name,numSensors, maxDistance, frictionSensor) 
Controls.addAgent('a',4,    70          ,0)

Controls.start()

#Create a white noise input function with parameters: baseFreq, maxFreq (rad/s), RMS, Seed
input=FunctionInput('Randomized input', [FourierFunction(.5, 10, 6, 12),
    FourierFunction(2, 11, 5, 17)],
    Units.UNK) 

# Add the input node to the network and connect it to the smart enuron
net.add(input)  

# make neural network and connect it to the smart neuron 
A=net.make('PositionData',neurons=10,dimensions=2,radius=20)

net.connect(input,simulator.getAgent('a').getTermination())
Exemplo n.º 4
0
################# get modem, create smart neuron with inputs/outputs

modem = g.getModem()                    
simulator = NeuralModule('VivaeTest',modem)  # create NeuralModule which is able to add/remove agents

Controls = simulator.getControls();     # this starts the control services..
many=net.add(simulator)                 # add it to the Nengo network

time.sleep(2)    # give it some time to init services

#Controls.loadMap('data/scenarios/arena2.svg')  
#Controls.loadMap('data/scenarios/ushape.svg')
#Controls.loadMap('data/scenarios/arena1.svg') 
Controls.loadMap('data/scenarios/manyAgents.svg') 

Controls.addAgent('a',4)
Controls.addAgent('b',18)
Controls.addAgent('c',18,30,50)
Controls.addAgent('d')
Controls.addAgent('e',8)
Controls.addAgent('f',20,10,50)
Controls.addAgent('g')
Controls.addAgent('h',39)
Controls.addAgent('i',22,30,1)
Controls.addAgent('j')

Controls.start()

################################## 
################# wire the network
Exemplo n.º 5
0
"""
Notes about agents: (see screenshot to this script)

Friction sensor [dots]
    -measures [binary] presence of ANY OBJECT (including grass)
    -black and blue lines gere
    -road=0, everything other=1

Distance sensor [lines]
    -measures [continuous] distance to the nearest OBSTACLE (not grass, not road)

Note: value 0 to sensor properties should add 0 sendors now
"""

#addAgent(name,numSensors, maxDistance, frictionSensor) 
Controls.addAgent('a',12,    0          ,40)

Controls.start()

#Create a white noise input function with parameters: baseFreq, maxFreq (rad/s), RMS, Seed
input=FunctionInput('Randomized input', [FourierFunction(.5, 10, 6, 12),
    FourierFunction(2, 11, 5, 17)],
    Units.UNK) 

# Add the input node to the network and connect it to the smart enuron
net.add(input)  

# make neural network and connect it to the smart neuron 
A=net.make('PositionData',neurons=10,dimensions=2,radius=20)

net.connect(input,simulator.getAgent('a').getTermination())
Exemplo n.º 6
0
from nengoros.comm.rosutils import RosUtils as RosUtils
from nengoros.modules.impl.vivae.impl import SimulationControls as Controls

Controls = simulator.getControls();     # this starts the control services..

Controls.stop()

Controls.destroy()


#Controls.loadMap('data/scenarios/arena2.svg') 
Controls.loadMap('data/scenarios/ushape.svg')
#Controls.loadMap('data/scenarios/arena1.svg') 
#Controls.loadMap('data/scenarios/manyAgents.svg') 
Controls.init()
"""
Controls.addAgent('a',4)
Controls.addAgent('b',18)
Controls.addAgent('c',18,30,50)

Controls.addAgent('d')
Controls.addAgent('e',8)
Controls.addAgent('f',20,10,50)
Controls.addAgent('g')
Controls.addAgent('h',39)
Controls.addAgent('i',22,30,1)
Controls.addAgent('j')
"""
#time.sleep(1);      # concurent modification exception
Controls.start()
Exemplo n.º 7
0
# run vivae
g = NodeGroup("vivae", True);           # create default independent group of nodes
g.addNC(vv, "vivaeSimulator", "native");# add vivae ControlsServer (node which handles the simulation)
g.addNC(modemCl,"modem","modem")        # add a default modem..
g.startGroup()                          # start group normally

time.sleep(2)                           # give it some time to init services
modem = g.getModem()                    
simulator = VivaeNeuron('VivaeTest',modem)  # create NeuralModule which is able to add/remove agents

Controls = simulator.getControls();     # this starts the control services..
many=net.add(simulator)                 # add it to the Nengo network

Controls.loadMap('data/scenarios/arena2.svg') 
Controls.addAgent('a',4)
Controls.start()

# run minMax node
g = NodeGroup('minMaxFinder', True);# create independent group called..
g.addNC(minmax, "MinMax","java");       # start java node and name it finder
g.addNC(modemCl,"Modem", "modem")       # add modem to the group
g.startGroup()

modem = g.getModem()
neuron = NeuralModule('MinMaxFinder',    modem)      # construct the smart neuron 
neuron.createEncoder("ann2rosFloatArr", "float",4)  # termination = input of neuron (4xfloat)
neuron.createDecoder("ros2annFloatArr", "float",2)  # origin = output of neuron (min and max)
minmaxN=net.add(neuron)                    # add it into the network

# make neural ensemble