7 Items found
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.
Sending Slack messages by voice thanks to Pepper - What if Pepper could help you increase your productivity at work? By linking the robot to a Slack channel, we will be able to send and receive messages by voice control thanks to Pepper.
What you should know before writing dialogues for Pepper and NAO - Writing dialogue for robots may seem easy, but there is actually a lot to keep in mind: from naming conventions to best practices for writing good inputs and outputs, plus some tips about scenarios and how to best use Pepper's tablet. Let's check all this together and see how to make great dialogues for Pepper and NAO!
Linking Pepper to a web API using android's Retrofit client - Learning about API use and how to link them to Pepper, we will grant the robot access to the Nager.date API, an online service containing data about the upcoming holidays worldwide. The goal of the app we will create would be for Pepper to answer to related questions such as: “Pepper, is today a holiday in Japan?”.
Controlling a Philips hue lamp with a simple robotic app - Light up your living room just by greeting Pepper when coming home thanks to IoT (Internet of Things). There is a large variety of connected objects such as lamps, boilers, presence sensors, radiators and much more you can try to connect to your Pepper. You could imagine Pepper being the interface to your home’s devices and control them.Let’s connect Pepper to a Philips Hue lamp in the first place.
Making your Pepper a translation agent with the Watson Language Translator API - Wouldn’t it be great if your robot allowed you to talk to anyone who speaks a different language without needing the help of a third person to understand each other? Well, let’s make it real with the help of the Watson Language Translator API.