Alibaba announced two tech innovations at its Cainiao Network 2018 Global Smart Logistics Summit on yesterday, May 31 to take care of delivery issues. There’s a storage locker with facial recognition
to keep food warm, named Cainiao box, and it can be installed right out the door. The more anticipating one is the robot named G Plus that’s going to deliver online-purchased goods to consumers. It is presently being road-tested at Hangzhou in eastern China, where the headquarters of Alibaba is located. Bettering its predecessors, the driverless delivery robot possesses the extended stamina to cover long distances. Alibaba G Plus has a loading box that adjusts size as per the package. Alibaba claims that it can even deliver fresh food. It has a maximum speed of 9.3 miles per hour but reduces to 6.2mph when it detects that its path forward has more traffic. Its built-in navigation system based on LIDAR helps create a 3D map to see the path. After reaching the destination, the Alibaba delivery robot, G Plus either deposits the package or the consumer enters a PIN code and receives their order. Alibaba has plans
to start commercial production for G Plus by the end of 2018. G Plus is dubbed as the first solid-state LIDAR unmanned logistics vehicle of the world. Developed jointly by RoboSense and Cainiao Network of Alibaba, it is equipped with three RS-LiDAR-M1Pres. Two of these in front and one in rear together provide the most powerful 3D perception for moving. RS-LiDAR-M1Pre is a solid-state LiDAR technology, and the first MEMS solid-state LiDAR, developed by RoboSense. Showcased at CES 2018, it is the evolution of traditional mechanical multi-beam radars. This MEMS requires only a few laser emitters and receivers for scanning in both directions via swing angle. It delivers fine, high and vertical-angle resolution, grandly reducing cost and increasing reliability and yield. Additionally, its miniaturization improves stability at a high rate.
India Coronavirus Cases Update
4,167 (2.9%) Deaths
60,491 (41.6%) Recovered
26 May 2020, 10:23 AM (GMT)