Robohub.org
 

Hello Pepper: Getting started to program robots on Android


by
03 August 2016



share this:
The Future of Social Robotics, by Nicolas Rigaud. Source: Margaret Maynard-Reid/Medium

The Future of Social Robotics, by Nicolas Rigaud. Source: Margaret Maynard-Reid/Medium

I didn’t get to meet Pepper the humanoid Robot at Google I/O but I watched the video afterwards: A new development frontier: Android + Pepper the interactive robot. Love the robots’ dance! I was super excited to hear that Pepper will become available in the U.S. later this year, and Android developers can now program robots!

A few weeks after I/O, I attended a Seattle Java User Group meetup. That evening I met Pepper in person, and I learned about the Future of Social Robotics from Nicolas Rigaud (slides here).

Equipped with microphones, cameras, sensors and an intelligence to perceive emotions, Pepper was designed for social interactions. He has an Android tablet on his chest which is very convenient for displaying image, video and texts. Pepper is 4 feet tall (1.2 meters) and can connect to the network with either Wi-Fi or Ethernet. Pepper is multi-lingual in English, French, Japanese and Chinese.

Source: Margaret Maynard-Reid/Medium

Source: Margaret Maynard-Reid/Medium

I wanted to learn more about Pepper. So I followed the instructions from the Pepper SDK for Android and was able to quickly get set up and create my first robot Application with Android Studio.

Since I already have Android Studio installed, all I had to do was to install the Pepper SDK plugin before creating my first “Hello World” robot application. You can follow the official Getting Started guide for detailed instructions, and here I’m sharing with you a brief summary of the steps I took (note I already had JDK and Android Studio installed):

  1. In Android Studio, install the Pepper SDK plugin; then the Robot SDK Manager icon appears on the Android Studio main tool bar
  2. Click the Robot SDK Manager icon to get the Robot SDK and tools
  3. Creating my first robot application
  • First create a regular Android application with minSDK = API 22 Android 5.1 Lollipop.
  • Then click File > New > Robot Application. Then notice these changes:

These two robot development related icons in Android Studio become enabled: Emulator and Connect/Disconnect. The 4th icon Wakeup is still grayed out since I don’t have a real robot to connect to.

Source: Margaret Maynard-Reid/Medium

Source: Margaret Maynard-Reid/Medium

The Android project structure gets updated to the Robot Project Structure. Dependencies are automatically added in build.gradle file:

compile 'com.aldebaran:libqi-java-android:sdk-2016-05-16'
compile 'com.aldebaran:qisdk:0.7'
compile 'com.aldebaran:qichatplayer:1.0.1'
  • I set CPU/ABI as x86 and checked “Use Host GPU” under Run/Debug Configuration/AVD option. Make sure to launch the emulator by clicking on the Robot Emulator icon, instead of using a virtual device from the Android Studio AVD Manager.
  • When the Robot emulator launches, the Robot Viewer also gets launched.

Without an actual robot I was still able to follow the first 3 of the tutorialsSay “Hello, world!”, Go to one meter forward and Mimic the elephant.

I will share more as I continue to learn about Pepper. Hopefully in the near future, we all can make apps that work with Pepper the humanoid robot.



tags: ,


Margaret Maynard-Reid is an Android Developer currently building apps that showcase how we can leverage machine learning.
Margaret Maynard-Reid is an Android Developer currently building apps that showcase how we can leverage machine learning.





Related posts :



Rethinking how robots move: Light and AI drive precise motion in soft robotic arm

  01 Oct 2025
Researchers at Rice University have developed a soft robotic arm capable of performing complex tasks.

RoboCup Logistics League: an interview with Alexander Ferrein, Till Hofmann and Wataru Uemura

and   25 Sep 2025
Find out more about the RoboCup league focused on production logistics and the planning.

Drones and Droids: a co-operative strategy game

  22 Sep 2025
Scottish Association for Marine Science is running a crowdfunding campaign for educational card game.

Call for AAAI educational AI videos

  22 Sep 2025
Submit your contributions by 30 November 2025.

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

  19 Sep 2025
Method for improving ball detection can also be applied in other fields, such as precision farming.

#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing

  15 Sep 2025
Jaeho argues that the AI conference peer review crisis demands author feedback and reviewer rewards.

Apertus: a fully open, transparent, multilingual language model

  11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence