Robohub.org
 

HorseFly unmanned aerial parcel delivery system uses truck as base


by
11 June 2014



share this:

Parcel delivery UAVs are a simple idea that requires a complex technology and great deal of vision. Matternet, Amazon.com and DHL (with their Paketkopter) are actively developing their drone delivery designs, and despite restrictive regulations, it is reasonable to expect that it will become reality sooner rather than later.

All the systems mentioned above have one thing in common: they are being developed to deliver package from a fixed location, the warehouse. Yet the fact is that there are not a lot of warehouses in any given metropolitan area, and those that exist are almost exclusively located on the outskirts of the city. Despite the developing endurance and range of multirotors, it is easy to see that even with the optimally positioned warehouses around the urban area, large parts of the city will remain outside of delivery drones operational range.

This is the problem that has driven AMP Holding to work together with the University of Cincinnati to develop a UAV that will be coupled with a delivery truck.

workhorse-truck-620_0
AMP Workhorse delivery vehicle

A combined truck-UAV delivery method is brilliant and remarkably simple, and works something like this:

The HorseFly will be positioned atop a delivery truck, awaiting a package from the driver. When loaded, the HorseFly will scan the barcode on the package, determine the path to the delivery address via GPS and fly away – completely self-guided – to the appropriate destination. Meanwhile, the delivery truck will continue on its rounds. After successful delivery, the HorseFly will zoom back to the truck for its next delivery run and, if needed, a roughly two-minute wireless recharge.

This system will require a more complex route optimization solution, one for the delivery truck and one for the UAV, and it is not clear yet how will that part of the delivery process be sorted out. But with the delivery vehicles conveniently scattered all over the urban area, no neighborhood will be out of range or reach.3031643-slide-s-octocopter-05

HorseFly octocopter and AMP Workhorse

An essential part of this system is its safety. Steve Burns, AMP CEO says that “An important part of the HorseFly project is that we make a vehicle that will not drop out of the sky”. In addition to the sophisticated autonomous controller system, the HorseFly will have multiple built-in hardware redundancies (rotors, onboard computers, battery packs). So if, for example, multiple rotors were to fail, the HorseFly and its payload still could be retrieved safely.

It seems that two UAV delivery methodologies are emerging: one from a fixed warehouse location (Amazon.com and DHL), and the other from a mobile base. It will be interesting to see which one of them will prevail.

Dronologista bets that the vehicle-UAV system is the winning combination, because it offers great flexibility and contains a potential for further development (think of automation).

Interesting articles about the HorseFLy could be found at GizmagDroneLife and University of Cincinnati news page. Nice picture gallery can be found in Fast Company Magazine. Pictures courtesy of PluginCars.com and Fast Company Magazine.

If you liked this article, you may also be interested in:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: ,


Dronologista Aviation & Drone Enthusiast
Dronologista Aviation & Drone Enthusiast





Related posts :



Robot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart

  09 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Emma Hart from Edinburgh Napier University about algorithms that 'evolve' better robot designs and control systems.

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.



 

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