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RaspBerry as multy robot commanded by a server, possibility of control by artificial intelligence or by internet interface, based on Raspberry PI3 B+, using QActor system (DLS based on kotlin)

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Alfred - The Real Butler

This University Project was made for the UNIBO course "Ingegneria dei Sistemi Software 2019" kept by Prof. Antonio Natali (https://www.unibo.it/it/didattica/insegnamenti/insegnamento/2018/385373).

Description

The goal of this project is available in HTML Format at userDocs/Objective/TemaFinaleBo19.html.

  • Our Robot uses an AI Planner to dinamically calculate a sequence of moves for reaching a position.
  • Our Robot also uses Prolog as a Knowledge Base.
  • Everything is mainly developed using the DSL QAK Language (external DSL for generating Kotlin code) developed by Antonio Natali.
  • The Robot is equipped with a Raspberry which was properly configured for this purpose.
  • MQTT and CoAp are used in this project as described in the objective of this project.
  • The Virtual Environment that was used to test the robot in a virtual environment was developed by Pierfrancesco Soffritti (https://pierfrancescosoffritti.com/), currently working for Google.
  • Frontend is developed entirely in NodeJS.
  • SCRUM was used as method for organizing our work. All our Sprints are available to be consulted. We reached the final stage of the project in a incremental way.

Virtual Environment Instructions

To launch correctly our virtual system:

  1. Clonare la repository (it might require a while for some demos we pushed).

  2. Aprire come progetto in Eclipse lo Sprint6 (/Sprints/Sprint6/it.unibo.sprint6).

  3. Eseguire un gradle build eclipse per sistemare le dipendenze nella cartella sprint6/it.unibo.sprint6 (è disponibile un .bat Sprint6/it.unibo.sprint6/gradleBuildEclipse.bat).

  4. Installare con npm install il virtual environment (è disponibile un .bat /Sprints/it.unibo.robots19/node/WEnv/install.bat).

  5. Installare npm install il frontend (è disponibile un .bat /Sprints/Sprint6/installFrontend.bat).

  6. Lanciare l'ambiente virtuale ed il frontend (è disponibile un .bat /Sprint6/launchFrontend&WEnv.bat).

  7. Lanciare da eclipse i seguenti contesti: ctxRobot, ctxResourceModel, ctxExplorer, ctxFridge, ctxPantry, ctxDishwasher.

Note: QAK plugins (to put in Eclipse XText in Dropins folder) and Libs required available at https://github.com/anatali/iss2019Lab/tree/master/libs

Note 2: Sometimes project GIT doesn't import the file .project correctly. Be sure when you import a sprint (e.g. sprint6) the matching .project file has a string "it.unibo.sprint6" in it, or Eclipse wouldn't import the project in the right way.

If repo goes down, PM Cesarsk.

Demos

Many demos (go check it out!!) are available at Demos

Alfred

The Team (sorted by Last Name)

Cesarano Luca https://lucacesarano.com - https://github.com/Cesarsk

Croce Andrea https://github.com/Shin94

Ferrari Andrea https://github.com/FerrariAndrea

Tags

PROLOG, IA, AI, ARTIFICIAL INTELLIGENCE, RASPBERRY, DSL, QAK, GOOGLE, VIRTUAL ENVIRONMENT, NODEJS, JAVASCRIPT, MQTT, COAP, IOT, SMART DEVICES

Copyright

Check LICENSE.MD

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RaspBerry as multy robot commanded by a server, possibility of control by artificial intelligence or by internet interface, based on Raspberry PI3 B+, using QActor system (DLS based on kotlin)

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  • Kotlin 41.4%
  • Java 24.4%
  • HTML 11.5%
  • JavaScript 10.7%
  • Prolog 6.8%
  • C 2.0%
  • Other 3.2%