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    • Pepper is a humanoid-robot
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    • Pepper is not just a tablet
    • Pepper is easy to use
  • Lessons
Pepper QiSDK
Pepper QiSDK
  • QiSDK
    • What’s new
    • Known issues
    • QiSDK Legal Notice
  • Getting Started
    • Installing the Pepper SDK plug-in
    • Creating a robot application
    • Running an application
    • Hello human!
    • Next steps
  • Principles
    • Mastering Focus & Robot lifecycle
    • Running Actions on Pepper
    • Synchronous or Asynchronous?
    • Chaining operations
    • Managing Autonomous abilities
    • Managing Conversation Feedbacks
  • Tools
    • Animation Browser / Viewer
    • Robot Viewer
    • Animation Editor
    • Trajectory Editor
    • Chat Editor
    • Layout Editor
  • API
    • Autonomous Abilities
    • Conversation
    • Motion
    • Perceptions
    • Knowledge
    • Samples
    • Full QiSDK API reference (Kdoc)
    • Full libqi API reference (Javadoc)
  • Design
    • Pepper is a humanoid-robot
    • Pepper is a character
    • Pepper communicates mainly by voice
    • Pepper is not just a tablet
    • Pepper is easy to use
  • Lessons
  • Blog

# Research & Innovation

The Artificial Intelligence Research Center (AIRC) is a team of scientists and engineers working together at Softbank Robotics on cutting-edge artificial intelligence (AI) systems to advance the state of the art in AI and robotics.

  • All(2)
  • Blog(2)
Blog

Controlling Robots with Human Poses

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 closeup
Pepper QiSDK
Pepper closeup
Pepper (NAOqi 2.5)
NAO closeup
NAO⁶
  • Research & Innovation
Controlling Robots with Human Poses
Blog

CROWDBOT: Safe Navigation of Robots in Dense Crowds.

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 closeup
Pepper QiSDK
Pepper closeup
Pepper (NAOqi 2.5)
NAO closeup
NAO⁶
  • Research & Innovation
  • Navigation
CROWDBOT: Safe Navigation of Robots in Dense Crowds.
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