19 Items found
CROWDBOT, an European Collaborative project enables robots to freely navigate and assist humans in crowded areas. - Today’s moving robots stop when a human, or any obstacle is too close, to avoid impact. This prevents robots from entering packed areas and effectively performing in a high dynamic environment. CROWDBOT aims to fill in the gap in knowledge on close interactions between robots and humans in motion.
How to use the contextual shortcut Alt+Enter or Option+Enter - Among many keyboard shortcuts, Android Studio provides a very useful context aware shortcut to manage intention actions: Alt+Enter (non Mac world) or Option+Enter (Mac world)
How to install a language package and get speech recognition in new languages - As international talking robots, Pepper and NAO can access many languages for speech recognition, and its management is quite easy. This quick how-to explains how to set up new languages installing a language pack in a few simple steps.
Refactoring your code to use AndroidX Jetpack made easy - Using AndroidX is highly recommended: Pepper applications and libraries developed at SoftBank Robotics use it, and Google announced it as the new standard. Here you will learn how to migrate a project to AndroidX using the "Refactor > Migrate to AndroidX" menu in Android Studio. In most cases, it will do the trick without any more hassle. Still, you should take the time to read the prerequisites and infos in this blog article, as following the recommended steps will make activating Jetpack and migrating from Support Library to AndroidX easier.
How to use logs in Android Studio to develop QiSDK application on Pepper robot - The aim of this tutorial is to give a quick overview of logging in the Android Studio environment. As a live example to put logs into practice, we will also focus on the application lifecycle in the QiSDK context which is based on Android lifecycle.
A Research project about Pepper and NAO immersive teleoperation - A new immersive teleoperation solution based on Extreme Learning Machine (ELM), a Machine Learning technique, is introduced for Pepper and NAO robots. Immersive teleoperation is defined as a robot remote control that renders the operator the sensation of being inside the teleoperated environment and providing a feeling of being the robot itself. The solution is independent of other mapping approaches (e.g. inverse kinematics) and the user’s whole body is used for the robot control. Even with scarce training data, the solution returns satisfactory results in both precision and computational speed.