Pepper Demonstration for Gulliver project.

Pepper demo for gulliver project.

Developed by Jaeah Lee, Jesoon Kang in BioIntelligence LAB (BILAB) & Cognitive Recognition Artifical Intelligence Group (CRAIG)

Description

This repo contains implementation code for PEPPER.

This repo includes motion, TTS, HTML interworking with tablet implementation codes for Pepper to introduce the BI LAB.

Codes are implemented based on Python 2.7 and Naoqi 2.5 versions. and other dependencies are exist.

Installation

Requirements

• Ubuntu 16.04
• Python 2.7

The following packages are needed to execute the code.

NAOqi 2.5

Installation & Setup reference : https://developer.softbankrobotics.com/pepper-naoqi-25-downloads-linux

Python2.7 packages

pip install pillow requests bs4

Prepares for execute

First of all, clone this repo in local device.

git clone https://github.com/jesn1219/pepper_demo_gulliver.git

Before executes our codes,

Some files need to be moved into the pepper.

* Copy all files in OUR_REPO: ./html/*  to  Pepper: /opt/aldebaran/www/apps/bi-html/html/

* Copy all files in OUR_REPO: ./sound/*  to  Pepper: /opt/aldebaran/www/apps/bi-sounds/

Usage

python main.py

Implementation Specification

Our demonstration program are contains following files

main.py 
* For execute. wrapping file

main_engversion.py
* main logic file for English demonstrations

trainsition.py 
* For specified codes for each Scene trainsition and each followed action

data_list.py 
* For specified data for universial usage, e.g. Touch area for each scene, Word list for oral command.

./html/
* Directory folder for html files & image files for tablet display

./motion/
* Directory folder for some entertain motions

./sound/
* Directory folder for some entertain & effect sounds

./camera/
* Module for dealing cameras on pepper