Robohub.org
 

CARNAC program researching autonomous co-piloting


by
26 June 2017



share this:

Credit: Aurora Flight Sciences.

DARPA, the Defense Advanced Research Projects Agency, is researching autonomous co-piloting so they can fly without a human pilot on board. The robotic system — called the Common Aircraft Retrofit for Novel Autonomous Control (CARNAC) (not to be confused with the old Johnny Carson Carnac routine) — has the potential to reduce costs, enable new missions, and improve performance.

CARNAC, the Johnny Carson version.

Unmanned aircraft are generally built from scratch with robotic systems integrated from the earliest design stages. Existing aircraft require extensive modification to add robotic systems.

RE2, the CMU spin-off located in Pittsburgh, makes mobile manipulators for defense and space. They just received an SBIR loan backed by a US Air Force development contract to develop a retrofit kit that would provide a robotic piloting solution for legacy aircraft.

“Our team is excited to incorporate the Company’s robotic manipulation expertise with proven technologies in applique systems, vision processing algorithms, and decision making to create a customized application that will allow a wide variety of existing aircraft to be outfitted with a robotic pilot,” stated Jorgen Pedersen, president and CEO of RE2 Robotics. “By creating a drop-in robotic pilot, we have the ability to insert autonomy into and expand the capabilities of not only traditionally manned air vehicles, but ground and underwater vehicles as well. This application will open up a whole new market for our mobile robotic manipulator systems.”

Aurora Flight Sciences, a Manassas, VA developer of advanced unmanned systems and aerospace vehicles, is working on another similar DARPA project, Aircrew Labor In-Cockpit Automation System (ALIAS), and is designed as a drop-in avionics and mechanics package that can be quickly and cheaply fitted to a wide variety of fixed and rotor aircraft, from a Cessna to a B-52. Once installed, ALIAS is able to analyze the aircraft and adapt itself to the job of the second pilot.

Credit: Aurora Flight Sciences



tags: , ,


Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.
Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

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.

Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri

  10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence