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Pepper QiSDK
NAO (NAOqi 2.1)
NAO⁶
Pepper (NAOqi 2.5)
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Pepper QiSDK
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Pepper (NAOqi 2.5)
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NAO⁶
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Blog
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Softbank Robotics Labs
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Blog
Code Scanner
How to scan QR codes and barcodes with Pepper
2020/02/27
Pepper QiSDK
Tablet
Github
Softbank Robotics Labs
Blog
CROWDBOT: Safe Navigation of Robots in Dense Crowds.
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.
2020/05/26
Pepper QiSDK
Pepper (NAOqi 2.5)
NAO⁶
Research & Innovation
Navigation
Blog
Android Studio logs explained through QiSDK app lifecycle
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.
2020/05/26
Pepper QiSDK
Tips and tricks
QiSDK
Blog
The Lottie animation tool
Experimenting the flexible and efficient Android library on Pepper’s tablet - Light and flexible, Lottie is a popular mobile library to make 2D animations on Android devices such as Pepper’s tablet. Indeed, Pepper is not just a voice user interface, but the tablet animations are very helpful in improving the interactive efficiency of the robot. At SoftBank Robotics we already tried out Lottie and there is what we found.
2019/03/12
Pepper QiSDK
Pepper (NAOqi 2.5)
Lottie
Tablet
Animation
Blog
Controlling Robots with Human Poses
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.
2020/12/31
Pepper QiSDK
Pepper (NAOqi 2.5)
NAO⁶
Research & Innovation
Blog
Pepper Slack messenger
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.
2019/11/12
Pepper QiSDK
QiSDK
API Challenge
Connectivity
Conversation
Blog
Learning a problem representation while exploring it
Learning algorithms generally need significant prior information on the task they are attempting to solve. This requirement limits their flexibility and forces engineers to provide appropriate priors at design time. A question then arises naturally: how can we reduce the amount of prior task information needed by the algorithm? Being able to answer this question could spark the development of algorithms with higher generalization potential, all the while reducing preliminary engineering efforts. If we want to discard any a priori knowledge about the task, we need the learning algorithm to efficiently explore and represent the space of possible outcomes it can achieve.
2021/02/24
Pepper QiSDK
Pepper (NAOqi 2.5)
NAO⁶
Research & Innovation
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