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 achieve the challenge, the Cross-ministerial Strategic Innovation Promotion Program (SIP) is researching and developing new robot named SSES(Sensor-rich Soft End-effector System). This blueprint provides basic architecture and software stack for new robot based on SSES.
The architecture is characterized by two data flows “real-time feedbackflow”and“IoT data flow”.The microcomputer simultaneously distributes the data measured by the sensor in physical space to two systems, the real-time feedback flow “red arrow”and the IoT data flow “blue arrow”.The route of the real-time feedback is directly connected to the PC for robot control and used as sensing data for robot control.On the other hand, data flow sends data to the edge server cloud via the gateway to analyze data in the cloud (cyberspace) and provide feedback to robot control on a regular basis.In addition, real-time feedback can be controlled using onlythe signal strength (gradation value) of the sensor signal, but data analysis on the IoT side requires not only the signal strength of the measured value but also a meaning that matches the physical quantity chemical quantity.Therefore, MSMtransmits raw data for low latency. On the other hand, the gateway assigns units to measured values and performs scale conversion according to the units. The following isexamples of how to use these two data flows.
Robotics Use Cases, Lab Demos, and thread-core data flow diagrams
Project Technical Lead: Fukano Haruhisa
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