Technologists told reporters that to make the machine replace the manual end distribution, the core is to create a set of software and hardware integrated unmanned distribution network, or a “cloud + end” world-integrated intelligent system. The terminal is a cost-effective, high-reliability, mass-produced unmanned distribution fleet, and the cloud is a complete set of dispatching systems with high distribution efficiency and high response speed.
“Real machine intelligence uses technologies such as cloud computing and machine learning to build what we call a” mystery “dispatching brain. Through high-speed real-time closed-loop with zero human intervention, intelligent dispatch and intelligent planning are formed, and a local network for unmanned distribution is constructed . “Liu Zhiyong introduced. “Mysterious” dispatching brain makes dispatching more intelligent, efficient, and extremely scalable, and gradually builds a global network of unmanned delivery. “Mystery” dispatching brain can see the dynamics of all robots in the data compass in real time and seamlessly interface with the system of laser pointer industry partners.
The delivery robot is equipped with a series of high-end “equipment”, including lidar, cameras and sensors. Aiming at the positioning technology of one of the core technologies, the real machine intelligently selected a multi-sensor fusion positioning scheme such as “multi-line lidar + GPS + inertial navigation” to achieve precise positioning and autonomous navigation. Because it is equipped with a multi-line lidar, the “real machine little yellow horse” can cruise autonomously at night and deliver 24 hours. For complex environments such as changing road conditions and many pedestrians, robots can detect pedestrians, vehicles, and lidars using obstacle detection. Using deep learning environment modeling technology to identify pedestrians and objects, the laser pointer improves the accuracy of obstacle avoidance.