The e-commerce giant JD.com has selected the NVIDIA Jetson AGX Xavier platform as the core AI computing power of the next-generation autonomous delivery robot.
In the past few decades, China accounted for more than 40% of global e-commerce transactions-about 100 billion US dollars per year. According to data from McKinsey Global Institute, this number is already higher than France, Germany, Japan, the United Kingdom and the United States combined.
To support this huge growth, large Chinese e-commerce companies are developing artificial intelligence distribution robots that allow goods to be transported between warehouses, speeding up the last mile delivery, and delivering products to consumers and businesses.
JD.com is a large-scale e-commerce company in China with 300 million active customers and a large internal e-commerce logistics network in China. Launched the world's first fully autonomous UAV B2C distribution centers and commercial distribution of e-commerce service company. In order to meet the increasing demand for distribution, JD.com began piloting autonomous distribution robots in universities and business parks in 2017.
JD.com has reached an artificial intelligence strategic partnership with Picture Information Technology
JD’s delivery robot is equipped with multiple high-definition sensors connected to Jetson AGX Xavier (the T500 smart box in the picture ), providing 360-degree real-time vision and perception processing to fully perceive the situation of the environment. In this way, the delivery robot can easily walk through crowded streets, plan routes autonomously, avoid obstacles, and recognize traffic lights.
Kong Qi, chief scientist of JD Robotics Development, said: "Our delivery robot needs a platform with powerful computing capabilities and capable of connecting with various sensors in order to safely drive in the outdoor dynamic and unstructured environment and interact with humans. This is why we chose Jetson AGX Xavier (pictured is the T500 smart box), which is the first platform suitable for autonomous machines.