This project contains resources for use in training the TJBot skills using Node-RED.
Resources: GitHub | Medium | YouTube Part 1, Part 2, Part 3, Part 4
Today we'll learn how to flash the Raspbian Jessie with Desktop image to a microSD card; enable SSH, VNC, and the Camera interfaces, set an SSH password, and upgrade Node.js and Node-RED to the latest version; install a Node-RED package containing nodes that can be used with the TJBot; and create a profile for TJBot to use as we train it with different abilities to perform.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to wave using the wave node.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to shine the LED the color red using the shine node.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to pulse the LED the color red using the shine node.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to listen using the microphone and the Watson Speech to Text service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to speak using the speaker and the Watson Text to Speech service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to see using the Raspberry Pi camera and the Watson Visual Recognition service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to analyze three types of tones using the Watson Tone Analyzer service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to translate a greeting (for example from English to Spanish) using the Watson Language Translator service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to respond using the converse node and the Watson Conversation service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to analyze the emotions of an utterance and light the LED one of five colors representing the emotions anger, disgust, fear, joy, and sadness.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to identify what language a greeting is in using the translate node and the Watson Language Translator service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to identify what language a greeting is in, check if there is a translation model to English, and translate it to English using the translate node and the Watson Language Translator service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to spell out the letters of words using the speak node and the Watson Text to Speech service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to identify colors using the see node and the Watson Visual Recognition service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot to identify objects using the see node and the Watson Visual Recognition service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot how to understand natural language and shine the light a color using the converse node and the Watson Conversation service.
Resources: GitHub | Medium | YouTube
Today we’ll train TJBot how to analyze language tones using the analyze tone node and the Watson Tone Analyzer service.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot how to understand natural language and move the arm using the converse node and the Watson Conversation service.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot how to listen, translate, and speak using the listen, translate, and speak nodes and the Watson Speech to Text, Language Translator, and Text to Speech service.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to suggest a lunch spot using the converse node and the Watson Conversation service.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to take a photo with the see node and the Raspberry Pi camera and post it to Twitter.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to receive direct messages from Twitter and read them aloud using the speak node in Node-RED.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to play sounds using the speak node in Node-RED.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to play a game where the player speaks the name of the color TJBot shines the light.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to measure the CPU temperature and speak it out using the speaker and the Watson Text to Speech service.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to say the weather report using the Weather Insights node and the speak node.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to speak the headlines from an RSS feed using the Watson Text to Speech service and the speak node.
Resources: GitHub | Medium | YouTube
Today we'll train TJBot to listen to the microphone and then send a text message via the Twilio service.
coming tomorrow...
This code is licensed under Apache 2.0. Full license text is available in LICENSE. 4GBLLXuUevV