Alibaba's Advanced Algorithms Driverless Robots Xiaomanlv Just Made One Millionth E-commerce Delivery 👍💪💪

28 Sep, Alibaba Group's autonomous delivery robots reached a milestone this week, delivering more than a million parcels in China within one year of their launch.

Alibaba's global research arm DAMO Academy shared in a press release that just 200 of the robots have carried parcels to more than 200,000 consumers in 52 cities across 22 Chinese provinces, this gives an idea of efficiency and productivity of what can be achieved with Alibaba's autonomous delivery robots and its advanced algorithms in autonomous driving technology.

Each robot, dubbed Xiaomanlv, can carry about 50 packages at a time and cover 100 kilometers on a single charge, delivering about 500 boxes per day.

Alibaba expects to expand the fleet from 200 robots to 10,000 robots over the next 3 years, which equates to handling an average of 1 million packages a day.

Alibaba DAMO Academy Autonomous Driving Lab shared the view that advanced self-driving technology has increasingly become part of people’s daily lives.

Xiaomanlv achieving over one million delivery orders is just the beginning. It has laid the groundwork for the future development and application of Alibaba autonomous driving technology.

Alibaba's exploration of autonomous driving technology dates back to 2015 when the e-commerce giant sought to address last-mile delivery challenges as online shopping grew in popularity. Last year, it started piloting Xiaomanlv robots across China's university campuses and communities.

One important breakthrough is Alibaba's ability to use advanced algorithms to achieve a low-cost, mass deployment of Alibaba's self-driving vehicles across communities and campuses.

The overall costs of producing and operating Xiaomanlv is a third of the industry average. The price competitiveness comes from lower hardware costs, as the robots operate based on trained algorithms instead of the high-definition sensors that are used by most self-driving cars. Alibaba uses a proprietary multi-sensor fusion solution and AutoDrive, its machine-learning platform, to power Xiaomanlv.

Alibaba has trained Xiaomanlv’s algorithm on its cloud computing-driven testing platform, which simulates over 10,000 possible scenarios, such as extreme weather situations and poor visibility at night.

The robot typically encounters more than 40 million obstacles each day but it can navigate its way more than 99.9% of the time without human intervention, according to DAMO Academy.

The same technical framework is now being used to design self-driving delivery trucks, in collaboration with Alibaba’s logistics arm Cainiao Network.

These larger robots will also be able to deliver goods at a faster speed and for longer distances.

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