Robohub.org
 

Drone Startups: PreNav


by
04 August 2014



share this:

Businesses that are operating drones are well aware that the cornerstone of their operations is safety. It might even be said that if you don’t have a safe product (or service), you don’t have a business at all. One of the safety-relevant problems that drone operators are facing is the absence of a sense-and-avoid system that would allow drones to operate autonomously in complex environments.

PreNav has taken up that challenge. Another San Francisco based startup, PreNav develops hardware and software that will enable precise navigation near ground, indoor, around structures and in GPS-denied environments, which would allow drones to safely operate at an increased level of autonomy, avoiding obstacles such as trees or street lighting poles. The technology is based on computer vision (Lidar + cameras) and uses deep neural networks for object recognition and unrivaled localization capabilities.

Roof Inspection

Dronologista had the chance to do a short email interview with the PreNav CEO, Nathan Schuett, and here is what he says:

Dronologista: How did you come up with this project?

Nathan: The three of us — Nathan Schuett (CEO), Asa Hammond (CTO) and Haim Busek (“Mad Scientist”) — were sitting in a coffee shop in San Francisco and toying around with the idea of using drones to autonomously deliver cups of coffee from the counter to our table. There were a number of obstacles in the way, and of course GPS doesn’t work indoors, so we thought it was a really interesting engineering challenge. And the more we thought about it, the more we realized there are tons of applications for drones near ground, people, and buildings that aren’t currently possible… yet.

Dronologista: It seems that sense-and-avoid will be all the rage for the commercial and truly autonomous UAV. Have you been asked to develop this system for any of the major UAV manufacturers?

Nathan: We’ve been approached and are building relationships with most of the major manufacturers, but we don’t have any signed contracts at the moment. We’re focusing on building the capabilities of the technology for now.

Dronologista: If not, will it be possible to retrofit existing designs with your system?

Nathan: Yes, we are planning to integrate with a number of different flight controllers.

Dronologista: Since you are US-based, have you experienced any legal trouble while test flying your drones?

Nathan: We haven’t had any issues with the FAA, mainly because we are in active R&D mode and haven’t begun commercial testing or commercial flights yet.

Dronologista: Who is funding and backing PreNav?

Nathan: We’re currently raising a small pre-seed round, consisting of friends and family, angel investors/firms, and Drone.vc, which syndicated us through AngelList.
Telephone Pole Inspection

Telephone Pole Inspection

***

The system that PreNav works on is a part of the solution for fully autonomous drone operation. Other solutions include fleet management systems, such as ones made by DroneDeploy or Garuda Robotics, and charging stations such as the one made by Skysense. When the technology matures enough that these systems become standard, truly autonomous drone operation could become a reality, and the coffee delivered by drone might just become a common sight.

Until then, keep a close watch on startups such as PreNav, because companies like it are at the forefront of an emerging multi-billion dollar industry.

Images courtesy of PreNav. Thank you Nathan!




Dronologista Aviation & Drone Enthusiast
Dronologista Aviation & Drone Enthusiast

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

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.

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

AI system learns to keep warehouse robot traffic running smoothly

  20 Apr 2026
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

Robot Talk Episode 152 – Dexterous robot hands, with Rich Walker

  17 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rich Walker from Shadow Robot Company about their advanced robotic hands for research and industry.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

and   14 Apr 2026
Ross King created the first robot scientist back in 2009. He spoke to us about the nature of scientific discovery, the role AI has to play, and his recent work in DNA computing.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence