Chinese autonomous mobile robot (AMR) start-up Youibot has launched its next generation of 5G connected disinfection robots, to help in the fight against Covid-19.
The company has integrated China Unicom’s 5G+ edge cloud networking solution to its ARIS-K2 UVC disinfection robot platform, enabling remote monitoring and operation of multiple robots simultaneously.
With data able to be transmitted through the cloud in real team the whole process is unmanned, and the execution record is traceable. Youibot said this further reduces the infection risk and protects front-line operators, as well as improving the efficiency of on-site disinfection work.
According to the start-up, its 5G edge cloud intelligent disinfection robot can efficiently sterilise the environment with the minimum level of dead angle.
Different from other UVC sterilisation solutions, ARIS-K2 adopts multiple high-power UVC lamps, with a total 1,000W, to achieve 99.99% sterilisation within 1m in 66 seconds.
Furthermore, the UVC robot leaves no residue with no PH change to environment. The system harnesses thermal imaging analysis technology to provide an accuracy level of crowd temperature measurement within 0.5 ℃.
In addition, 5G + MEC edge cloud computing provides low latency, ultra-wide bandwidth accelerating the remote transmission of large-scale images and information data, long distance command and instruction delivery, and shorten the end-to-end communication delay.
A Youibot spokesperson said: “In the context of “New Normal”, the robots that independently perform tasks in scattered areas are connected with each other through 5G networking, breaking the discrete working mode of “individual combat”, realising real-time centralised planning and precise control, optimising the resources allocation process, improving the efficiency of disinfection, and making epidemic prevention work more comprehensive.
“Mass information such as robot task execution record, video record and body temperature data generated by robot, can be sent back to central management system immediately.
“The epidemic prevention team is able to obtain the first-hand information from the front line of epidemic prevention in real time, to assist the rapid decision-making and prevent the spread of the epidemic.”
