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An international partnership where SBRE puts forward Pepper to answer user specific needs - How can technology support the worldwide issue of the ageing populations and the complexity of human connections? SBRE committed into the CARESSES program to integrate a system that plans the robot's actions according to a relevant cultural knowledge base.
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.
We made Pepper the robot play games of skill with AI (Artificial Intelligence) at SBRE - SBRE AI Lab (Artificial Intelligence Laboratory) taught Pepper how to successfully throw a ball in a cup and a dart at the dartboard (they are exactly the same dynamic problem) using dexterity and a bit of dynamical systems theory. Here is the story of what it takes to match elementary games and robotics.
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.
Topic. A Topic is an object containing rules. Its header contains at least the name of the topic. Example Rule. A Rule associates a Human input (what the human says) with a relevant Robot output (what the robot answers). Delimiters, Special characters and Rule functions and properties allows you to create powerful rules, managing in one line lots of different cases. There are three type of rules: User rule, User subrule and Proposal. Human input. Human input is Part of a User rule or a User subrule delimited by parentheses and containing the message to be recognized by the robot. When the Human input matches, i.e.