Masoni et al.
workedon the remote maintenance by the association of mobile devices and augmentedreality. Their work was focusing on reducing authoring time without using highspeed network. They analyses video and audio streaming, data transection,maintenance operation and tracking algorithm for AR. The solution is a clienttake a real-time operation picture to a skilled person (server) and the serverwill send. They have used technology like unity 3D and Vuforia 3.
Data Scientist from GEare doing R&D with Digital Twins for their Industrial assets andmanufacturing process. Their goal is to get better product, better maintenanceof their own plant, better product delivery and better services 4. Igor Verner, Michael Reitmanand Dan Cuperman worked with Digital Twin to train a learning robot.
Theirfocus was using the combination of IoT, Digital Twin and virtual sensors. Theyhave analyzed different robot gesture using a learning robot and Digital twin.For each weight robot send the each joint angle to the server. User can checkthe action in the DT app. Next time for the same weight user can check therobot gesture in the DT app 6.
Björn Löfvendahl hasworked with ABB Robotics for the research on using AR application for industrial robots. Hisresearch was to show a safety zone around the robot. A tablet app was used toshow the safety zone marked by AR. For the proof of concept he used technologylike Unity 3D, RobotStudio, SafeMove add-ons on ABB’s industrial robots. Thisresearch target was to make a safe zone during working beside or with theIndustrial robot. He also mentioned 30 to 50 second delay problem during inputand output real world video streaming 8.
Pereira etal. has researched on IoT based real-time cloud monitoring of a decentralizedphotovoltaic plant. They have collected different information like voltage,current, temperature, humidity using different sensors. Those sensors are alsoconnected to a Raspberry Pi device. RPi then send and receive data using a phpscript through cloud. A website will show this real-time sensor data from cloudstorage.
One user or multiple users can access and monitor the websiteinformation. They have used Google cloud platform and RPi as cloud connector.In their research they have analysed real-time data and crated solar Irradiancedata chart by comparing different sensors data 9. Wang et al.provides a solution for obstacle avoidance for NAO Humanoid robot using GoogleGlass. In their solution, NAO robot is connected with the Google Glass throughTCP connection. NAO robot sends the video of its path to the user. Then theuser can detect the obstacle from the video and the Google Glass detects headgestures using its multisensory data.
Then the system conducts an effectiveobstacle avoidance task for the NAO robot 13.