Discuss A “Standardized” Robot “Language” For GoPiGo3

cyclicalobsessive · July 7, 2026, 2:19pm

That is so cool! (and “Masters Level” indeed. I dabbled with Braitenberg Vehicles on the GoPiGo3 which are “two neuron” simulations, but C. Elegans? Wow!

I did English proof reading for a German team using C. Elegans for flavonoid influence on cancer cells.

I couldn’t find the Python3 version of the Connectome tutorial. Have a link handy?

cleoqc · July 8, 2026, 1:25am

It’s now a Jupyter notebook and not a pure Python file.

cyclicalobsessive · July 8, 2026, 1:43am

Supposedly the pure python for GoPiGo3 is here:

github.com

DexterInd/GoPiGo3/blob/main/Projects/Connectome/GoPiGo3Connectome.py

# GoPiGo Connectome
# Written by Timothy Busbice, Gabriel Garrett, Geoffrey Churchill (c) 2014, in Python 2.7
# Modified by John Cole in 2019 to work with Python 3.x and the GoPiGo3
# The GoPiGo Connectome uses a Postsynaptic dictionary based on the C Elegans Connectome Model
# This application can be ran on the Raspberry Pi GoPiGo robot with a Sonar that represents Nose Touch when activated
# To run standalone without a GoPiGo robot, simply comment out the sections with Start and End comments
## Start Comment
from easygopigo3 import EasyGoPiGo3 # importing the EasyGoPiGo3 class
gpg = EasyGoPiGo3() # instantiating a EasyGoPiGo3 object
gpg.reset_all()   # Unconfigure the sensors, disable the motors, and restore the LED to the control of the GoPiGo3 firmware.
gpg_speed_factor = 2 # the GPG3 has a different speed scale than the GPG2
my_distance_sensor = gpg.init_distance_sensor()
food_color = (10,10,40)
obstacle_color = (40,10,10)
## End Comment
import time

# The postsynaptic dictionary contains the accumulated weighted values as the
# connectome is executed
postsynaptic = {}

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I’m going to add this to my TODO: list - looks really interesting, and I think Dave always wanted “worms in his brain”…maybe that was some other of questionable intelligence.

Interesting to see John Cole in the author list!

cleoqc · July 8, 2026, 3:52pm

if I remember correctly the pure python file wasn’t working with Python3. It was timing out or something. It was taking a really long time to get started. Jupyter Notebook handled it much better