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Oleg Berzin Jim Xu (Deactivated)
Akraino is a set of open infrastructures and application blueprints for the Edge, spanning a broad variety of use cases, including 5G, AI, Edge IaaS/PaaS, IoT, for both provider and enterprise edge domains. These Blueprints have been created by the Akraino community and focus exclusively on the edge in all of its different forms. What unites all of these blueprints is that they have been tested by the community and are ready for adoption as-is, or used as a starting point for customizing a new edge blueprint.
More information, please refer to https://www.lfedge.org/projects/akraino/.
Android Cloud
Overview
Learn how Robox is deployed in the ysemi test lab. In this new example, the deployment of robox to the ysemi test lab is shown, and the cloud gaming platform can
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armv9 architecture server chip, the cost of the entire solution will be greatly reduced. More information, please refer to:
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Companies
Fujitsu and Ritsumeikan are contributing to framework for fusion of robots and sensors.
The framework combines sensor data collection, machine and deep learning models for analysis, and feedback for mechanical robot control.
Signalogic is contributing to the SESS blueprint automated speech recognition (ASR) functionality.
A 20,000 word real-time vocabulary is being implemented on a pico ITX Atom board (quad-core, 3.5" x 3.5", 10 W) suitable for
Ritsumeikan's food prep and production use cases, as well as a range of robotics use cases in manufacturing, production, agriculture, and retail.
The implementation includes robust audio noise processing to deal with background and robot mechanical noise.
Challenges
Robotics is an important tool for achieving the SDGs. Workers will be able to focus on decent work and new innovation by improvement of labor productivity using robot, as a result, they can move toward new economic growth. However, there are industries where it is difficult to apply current robotics. For example, agriculture, restaurant, food factory, etc.. The challenges current robotics faces in these industries are
- Objects with diverse shapes, flexibility, and frictional properties
- Uncertain environment
- High-mix small-lot production
Solutions
Ritumeikan and Fujitsu research and develop enhancement of cognitive ability to solve these challenges. The features are the following three points.
- Sensor-rich technology for multi-dimensional data acquisition
- AI/IoT technology with force/contact information
- IoT maintenance and inspection technology
This blueprint family provides open software stack which can implement above cognitive ability easy.
Results
The BP will allow robotic system integrators to easily implement systems that combine sensors and robots. We plan to enhance the following functions in 2022.
- Analysis of sensor data and feedback to robot
- Lightweight speech recognition to recognize "immediate and urgent" voice commands while protecting data privacy
LF Edge Project Collaboration
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