Updated on August 25, 2018


Created on July 17, 2017

Matternet M2

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Matternet is an automated drone logistics system used to deliver packages ranging from medical supplies and blood samples in hard to reach locations to ev

Developed By Unknown
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Product Description

The Matternet M2 drone is capable of delivering a payload of up to 2 kg over a distance of up to 20km. It is designed by Matternet and currently commercialized.

Market Suggested Retail Price


Distributors / Implementing Organizations


Manufacturing/Building Method

Matternet publishes their open source contributions on GitHub

Intellectural Property Type

Patent Protected

User Provision Model

Product can be obtained through an order on the manufacturer's website.

Distributions to Date Status


Design Specifications

Specifications: The M2 is a multi-rotor type Unmanned Aerial Vehicle capable of flying up to 20 km with a 1 kg payload (without wind). The drone has a cruise speed of 10m/s and can carry a weight of up to 2 kg. It's additional features include automatic payload and battery exchange capability, intelligent routing and monitoring, precision landing and intuitive command and control.

Technical Support

Provided by a UAV-specialized technician if available in area of deployment. Support is otherwise provided by the manufacturer.

Replacement Components

Replacement components can only be obtained from the manufacturer



Manufacturer Specified Performance Parameters

The manufacturer aims to be able to deliver goods under 2kg over distances of up to 20 kilometers (12 miles) on a single battery charge 24 hours a day, 7 days a week all year round

Vetted Performance Status



Unmanned Aerial Vehicles can cause injury or destroy property in case of a crash. The drone is therefore designed with a parachuteto ensure safe landing. It is also designed with encrypted communications, precision landing for additional safety.

Complementary Technical Systems

The logistics delivery system runs together with a Mercedes benz mini van to deliver goods to the user.

Academic Research and References

  1. Proceedings of the 50th Hawaii International Conference on System Sciences | 2017 Drone Delivery Models for Healthcare by Judy E. Scott University of Colorado Denver, USA and Carlton H. Scott University of California Irvine, USA

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