First time with Arduino - SOFT_RESET

rekabuk's picture

Hi All,

This is the first time I have played with the Arduino Uno and things are not going well :-(

I create an Arduino object and copy the sketch to the Arduino IDE and  try to compile it, but I get a warning about SOFT_RESET being redefined - Is this something to worry about?

If I download the compiled sketch and try to connect to my Arduino some times I get a "goodtimes" message other times I don't.

Changing languages

Mastablasta's picture

 

 

Simple example to change languages


Wordnet , ProgramAB, and Solr Graph Query

kwatters's picture

Ok, there's a lot of stuff going on here, so I'll do my best to break it down and provide some background.


Cristian

erik's picture

Open CV

erik's picture
Open CV to Inmoov robot

# a minimal tracking script - this will start all peer
# services and attach everything appropriately
# change parameters depending on your pan tilt, pins and
# Arduino details
# all commented code is not necessary but allows custom
# options

port = "COM3"   #change COM port to your own port
xServoPin = 22   #change this to the right servo pin if needed, for inmoov this is right
yServoPin = 24   #change this to the right servo pin if needed, for inmoov this is right


MyRobotLab & Pandorabot, testing memory Part III

Mastablasta's picture

 

https://github.com/MyRobotLab/pyrobotlab/tree/master/home/Mastablasta/ai...

Here you find all the files. Put the aiml files into your aiml folder, setlist1-3 in your set folder and maplist1-3 into your map folder.

This is just a basic example, able to remember 4 subjects.

You can also use any input to be remembered, no need for set/map.


Rothead servo move

erik's picture

There is a program to the rothead servo :

[[/home/erik/helloworld.py]]


jinn learns to walk.

jinx's picture

OpenNlp Service

javadoc

The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text.

It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning.

References :