Matternet and Mercedes Benz
Matternet is an automated drone logistics system used to deliver packages ranging from medical supplies and blood samples in hard to reach locations to everyday goods within urban areas.
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.
Countries: Switzerland, Malawi, Dominican Republic
- – Matternet
- – Swiss Post
Medical drone makers: Vayu, Zipline, EHang, google drones, HiRO, Project Wing, TU Delft, Flirtey
Goal 3: Good health and Well-being
Untrained individual. The user simply enters the desired destination for the drone and it finds the most appropriate route.
Matternet publishes their open source contributions on GitHub
Matternet Inc possesses 4 patents: Unmanned aerial vehicle, Unmanned aerial vehicle, Route planning for unmanned aerial vehicles, Methods and systems for transportation using unmanned aerial vehicles
Product can be obtained through an order on the manufacturer’s website.
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.
Provided by a UAV-specialized technician if available in area of deployment. Support is otherwise provided by the manufacturer.
Replacement components can only be obtained from the manufacturer
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
The logistics delivery system runs together with a Mercedes benz mini van to deliver goods to the user.
List type of drone (Fixed wind, quad copter, other)
Vertical, runway, catapult, hand launched, other
List the navigation system (GPS, GLONAS, Galileo, BeiDou, other)
Max flight time, coverage area, etc
If yes, specify the type of sensors included and available for the platform
Geolocation, Land Survey, Sensor readings, Image based data, OtherDisplay order
List the drone tracking and management software specificationsDisplay order
Objective of the drone platform [eAgriculture, Land survey, Disaster response, Impact analysis, Wildlife tracking, other]Display order
- 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
Manufacturer cites weather perfomance, performance in GPS-denied environments, ‘sense and avoid’ as evaluation criteria. The drone has also been field tested in conjunction with Swiss post.
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