Robohub.org
 

Matternet launches drone delivery platform


by
31 March 2015



share this:

Matternet_oneI often speak about deliverbots — the potential for ground-based delivery robots. There is also excitement about drone (UAV/quadcopter) based delivery. We’ve seen many proposed projects, including Amazon prime Air and much debate. Many years ago I was perhaps the first to propose that drones deliver a defibrillator anywhere and there are a few projects underway to do this.

Some of my students in the Singularity University Graduate Studies Program in 2011 really caught the bug, and their team project turned into Matternet — a company with a focus in drone delivery in the parts of the world without reliable road infrastructure. Example applications including moving lightweight items like medicines and test samples between remote clinics and eventually much more.

I’m pleased to say they just announced moving to a production phase called Matternet One.

https://youtu.be/nl9DviYWRs8

When it comes to ground robots and autonomous flying vehicles, there are a number of different trade-offs:

  • Drones will be much faster, and have an easier time getting roughly to a location. It’s a much easier problem to solve. No traffic, and travel mostly as the crow flies.
  • Deliverbots will be able to handle much heavier and larger cargo, consuming a lot less energy in most cases. Though drones able to move 40kg are already out there.
  • Regulations stand in the way of both vehicles, but current proposed FAA regulations would completely prohibit the drones, at least for now.
  • Landing a drone in a random place is very hard. Some drone plans avoid that by lowering the cargo on a tether and releasing the tether.
  • Driving to a doorway or even gate is not super easy, either.
  • Heavy drones falling on people or property is an issue that scares people, but they are also scared of robots on roads and sidewalks.
  • Drones probably cost more but can do more deliveries per hour.
  • Drones don’t have good systems in place to avoid collisions with other drones. Deliverbots won’t go that fast and so can stop quickly for obstacles seen with short range sensors.
  • Deliverbots have to not hit cars or pedestrians. Really not hit them.
  • Deliverbots might be subject to piracy (people stealing them) and drones may have people shoot at them.
  • Drones may be noisy (this is yet to be seen) particularly if they have heavier cargo.
  • Drones can go where their are no roads or paths. For ground robots, you need legs like the BigDog.
  • Winds and rain will cause problems for drones. Deliverbots will be more robust against these, but may have trouble on snow and ice.

In the long run, I think we’ll see drones for urgent, light cargo, and deliverbots for the rest, along with real trucks for the few large and heavy things we need.

This post originally appeared on robocars.com.



tags: ,


Brad Templeton, Robocars.com is an EFF board member, Singularity U faculty, a self-driving car consultant, and entrepreneur.
Brad Templeton, Robocars.com is an EFF board member, Singularity U faculty, a self-driving car consultant, and entrepreneur.





Related posts :



Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.

Robot Talk Episode 118 – Soft robotics and electronic skin, with Miranda Lowther

  25 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Miranda Lowther from the University of Bristol about soft, sensitive electronic skin for prosthetic limbs.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Robot Talk Episode 117 – Robots in orbit, with Jeremy Hadall

  11 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jeremy Hadall from the Satellite Applications Catapult about robotic systems for in-orbit servicing, assembly, and manufacturing.

Robot Talk Episode 116 – Evolved behaviour for robot teams, with Tanja Kaiser

  04 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Tanja Katharina Kaiser from the University of Technology Nuremberg about how applying evolutionary principles can help robot teams make better decisions.

AI can be a powerful tool for scientists. But it can also fuel research misconduct

  31 Mar 2025
While AI is allowing scientists to make technological breakthroughs, there’s also a darker side to the use of AI in science: scientific misconduct is on the rise.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence