Robohub.org
 

China’s e-commerce dynamo JD makes deliveries via mobile robots


by
05 July 2017



share this:

China’s second-biggest e-commerce company, JD.com (Alibaba is first), is testing mobile robots to make deliveries to its customers, and imagining a future with fully unmanned logistics systems.

 Story idea and images courtesy of RoboticsToday.com.au.

On the last day of a two-week-long shopping bonanza that recorded sales of around $13 billion, some deliveries were made using mobile robots designed by JD. It’s the first time that the company has used delivery robots in the field. The bots delivered packages to multiple Beijing university campuses such as Tsinghua University and Renmin University. 

JD has been testing delivery robots since November last year. At that time, the cost of a single robot was almost $88,000.

They have been working on lowering the cost and increasing the capabilities since then. The white, four-wheeled UGVs can carry five packages at once and travel 13 miles on a charge. They can climb up a 25° incline and find the shortest route from warehouse to destination.

Once it reaches its destination, the robot sends a text message to notify the recipient of the delivery. Users can accept the delivery through face-recognition technology or by using a code.

The UGVs now cost $7,300 per robotic unit which JD figures can reduce delivery costs from less than $1 for a human delivery to about 20 cents for a robot delivery.

JD is also testing the world’s largest drone-delivery network, including flying drones carrying products weighing as much as 2,000 pounds.

“Our logistics systems can be unmanned and 100% automated in 5 to 8 years,” said Liu Qiangdong, JD’s chairman.



tags:


Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.
Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?

Robot Talk Episode 153 – Origami-inspired robots, with Chenying Liu

  24 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Chenying Liu from University of Oxford about how a robot's physical form can actively contribute to sensing, processing, decision-making, and movement.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence