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Pepper QiSDK
NAO (NAOqi 2.1)
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qiBullet
a Bullet-based simulator for the robots - qiBullet is a simulation tool enabling users to easily experiment with Pepper and NAO robots in virtual environments and gather accurate data.
2020/02/27
Pepper (NAOqi 2.5)
NAO⁶
Github
Research & Innovation
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
Let’s make Pepper and NAO speak a second language
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.
2020/09/30
Pepper QiSDK
Pepper (NAOqi 2.5)
NAO⁶
QiChat
Dialogue
Conversation
Tips and tricks
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
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
Blog
Pepper and NAO show off at Cité des Sciences et de l’Industrie
The new permanent exhibition allows us to present authentic working robots - The Cité des Sciences et de l'Industrie, monster in the field of scientific exhibitions in Paris, chose robotics as the subject of its latest permanent exhibition, and SBR is one of their partners.
2020/02/27
Pepper (NAOqi 2.5)
NAO⁶
project
Event
Blog
The ROBOTS exhibition, a productive collaboration
Meeting the SoftBank Robotics Project Manager - The Robots exhibition runs for 5 years starting from April 2, 2019 at the Cité des Sciences et de l’Industrie (Paris 19th arrondissement). The exhibition invites the visitor to ponder on their vision of robotics and to get acquainted with robotic science and industries. This exhibition shows real robots at work, how they operate, the state of research in the field and the concrete implications for our society. SBRE has co-conceived 3 pieces of the exhibition in collaboration with Universcience. Christophe DUPOUY, Project Manager, talks about his experience.
2020/02/27
Pepper (NAOqi 2.5)
NAO⁶
project
Event
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