Skip to content

Python controller for Pepper humanoid robot. It allows to write apps in Python. There are examples of simple applications for Pepper. We develop GUI to operate the robot and run custom apps

Notifications You must be signed in to change notification settings

Young1108/Pepper-Controller

 
 

Repository files navigation

Pepper Controller

This is a software for controlling the humanoid robot Pepper. You can easily connect to the robot and control it either from the command line or you can implement the robot control into your existing python scripts. This software serves as an alternative to the official Choregraphe tool, which offers only graphical programming instead of full Python support. You can also control the robot, launch apps installed on the robot or teleoperate the robot from the GUI interface. The example scripts will help you to learn how to write your own Pepper app in a few lines of Python code, without the necessity to use Softbank software.

System requirements

Ubuntu up to 20.04

Python 2.7 (or Python 3.5.6 with limited functionality)

Pepper humanoid robot with NAOqi 2.5 (will not work with NAOqi 2.9 or newer)

Installation

Install dependencies for the GUI:

sudo apt-get install python-tk opencv-python

Clone this repository to your computer:

git clone https://github.com/incognite-lab/Pepper-Controller.git

cd Pepper-Controller

Python 2.7

If you want to use all functions from robot.py, you need the Python 2.7 version. Here is the installation procedure.

export PYTHONPATH=${PYTHONPATH}:~/pynaoqi/lib/python2.7/site-packages

  • Test the library:

python2

import qi

  • Install dependencies

pip2 install -r ./requirements.txt

Python 3.5.6

Alternatively, you can install the conda env for Python 3.5.6, which uses a half-remade qi library. However, some functionalities like touch detection etc. will not work. You can install it as follows:

conda env create -f python3env.yml
conda activate pepperenv                

GUI Interface

The easist way to control Pepper robot is via the GUI interface:

python2 peppergui.py

The window will appear:

Image

Firstly, you need to enter the correct IP address (press the robot's chest button to obtain it) to the upper left box and press "Connect"

After a successful connection, you can control the robot by pressing the buttons.

If you want Pepper to say any phrase, enter it in the text edit field and then press the "Say text" button.

The GUI provides support for running Choregraphe projects that are already installed on the robot. We currently do not provide any installable Choregraphe projects, but you can configure the GUI buttons for your own applications. To do that, please edit conf.yaml. For each application, you need to provide a name for the button and a path to your Choregraphe app in the form of applicationID/behavior_1. If you are not sure how to get these, please refer to Choregraphe documentation (it is label C on the second image).

Other properties of the GUI can be edited through the conf.yaml file.

GUI customization

If you want to customize GUI, there is a tool to easily edit the layout without programming skills. The GUI layout is based on Pygubu Designer (https://github.com/alejandroautalan/pygubu-designer)

Install Pygubu Designer:

pip2 install pygubu-designer

Run Pygubu Designer:

pygubu-designer

Open .ui file

File > Open > Pick "pepper_controller.ui"

You can modify the basic structure of the layout, add new fuctions or assign commands or applications to the specific buttons. The ui file contains whole structure of the the GUI.

Command line examples

If you want to control the robot from command line, just run Python 2 and type:

import naoqi

from pepper.robot import Pepper

robot = Pepper(PeppperIP,9559)

Now you can control Pepper from the command line. Pepper can say something:

robot.say("Hello, I am Pepper robot.")

If you want Pepper to show a website on tablet, type:

robot.show_web("https://www.google.com/")

You can also easily switch Autonomous life on or off:

robot.autonomous_life_off()

robot.autonomous_life_on()

Example of Pepper semantic segmentation based on Yolact under Python 3

Sample script in preparation

Video1

Writing custom application

As you can see from previous examples, it is pretty straigforward to write an application in Python without Choregraphe.

We prepared two examples that you can use as templates for the developmnent of your own application.

First one presents basic robot capabilities:

python hellopepper.py

Feel free to edit the script file according to your needs.

The second example shows a more complex application:

python demo.py

You can also use this script as a starting point to write your application.

Pepper class

The core module of uour software is a Pepper class. There are basic functions to operate robot from the Python environement. You can easily write your own software for the robot based on these functions.

List of methods

Here is a list all methods in Pepper class.

Language Vision Motorics System
getVoiceShape streamCamera stand show_image
getVoiceVolume get_face_properties rest autonomous_life
set_volume turn_off_leds turn_around autonomous_blinking
getVoiceSpeed blink_eyes detect_touch show_web
greet take_picture set_security_distance point_at
test_say show_map stop_behaviour tablet_show_settings
play_sound load_map start_animation restart_robot
stop_sound subscribe_camera start_behavior shutdown_robot
listen_to unsubscribe_camera hand autonomous_life_off
listen get_camera_frame track_object autonomous_life_on
ask_wikipedia get_depth_frame exploration_mode battery_status
speech_to_text show_tablet_camera robot_localization list_behavior
chatbot learn_face stop_localization get_robot_name
pick_a_volunteer recognize_person navigate_to unsubscribe_effector
recordSound move_forward share_localhost
changeVoice move_to_circle rename_robot
move_joint_by_angle upload_file
move_head_down download_file
move_head_up set_awareness
move_head_default
do_hand_shake

Authors

alt text

Incognite lab - CIIRC CTU

Michal Vavrecka

Gabriela Sejnova

Michael Tesar

Anastasia Ostapenko

Daniel Kubista

Petr Schimperk

Licensing

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

Acknowledgement

The software development was supported by the Technological Agency of the Czech Republic grant No. TL02000362 HUMR - The Use of Humanoid Robot in Promoting Active Ageing in Older Men and Women.

About

Python controller for Pepper humanoid robot. It allows to write apps in Python. There are examples of simple applications for Pepper. We develop GUI to operate the robot and run custom apps

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.9%
  • Shell 0.1%