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 biggest challenge current robotics faces in the industry is how to control elastic and non-uniform object under variable circumstance.
To apply robotics to any industry easily, this blueprint family develop and provide open software stack which can achieve the challenge.
New or Modification to an existing submission
Blueprint Family - Proposed Name
Robotics for elastic and non-uniform object under variable circumstance Blueprint Family
CPS for Robot Blueprint Family
Cognitive CPS for Robot Blueprint Family
Robot for restaurant and ready-to-eat industry
Robot for agricultural forestry industries and fishers
Robot basic architecture based on Sensor-rich soft end-effector system (SSES)
Initial POD Cost (capex)
$50K/one robot hardware
Expandable to automate the drug industry, garment factories, and serviceability industries
Robots control elastic and non-uniform object under variable circumstance
Need approx.500~1500W per one robot arm.
Preferred Infrastructure orchestration
Robot App: ROS2, Node-Red, Python, MQTT、processing、PLC
Blueprints in this Family
TA Family Coordinator Nominee (Y/N)
|Robot basic architecture based on SSES