Active Project

Developing autonomous flight and machine learning solutions for the next generation of aircraft

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aircraft scale factor

Our systems have flown on a wide range of aircraft, from small air taxis (Vahana eVTOL weighing 0.8 tons) to massive commercial aircraft (Airbus A350 weighing 315 tons) - equalling a scale factor of 400



Wayfinder contributed to Airbus' Autonomous Taxi, Take-Off and Landing (ATTOL) project which achieved an aviation world-first in 2020: autonomous taxiing, takeoff and landing of a commercial aircraft through fully automatic vision-based flight tests

Wayfinder is developing autonomous flight systems for the next generation of commercial aircraft

Wayfinder is building scalable, certifiable autonomy systems to bring about a significant increase in safety and efficiency in the next generation of commercial aircraft.

Our team of experts is driving the maturation of core technologies to power autonomous flight. We are creating a reference architecture that includes hardware and software systems, and applying a data-driven development process to enable aircraft to perceive and react to their environment.

Autonomous technologies will drive a step change in safety and efficiency

Our team is at the heart of the autonomous flight revolution. We are making rapid progress in applying machine learning to develop autonomous flight systems by:

  • Architecting dedicated Machine Learning models
  • Creating realistic simulations
  • Developing safety critical software and hardware
  • Advancing our flight testing our systems with a flight test aircraft
  • Scaling our data collection capabilities and advancing our algorithms

Meet Team Wayfinder

We're building the future of autonomous flight, together. Each person on our team has a high degree of specialization where they are the authority.

Arne Stoschek

Project Executive, Wayfinder

Arne Stoschek

Project Executive, Wayfinder

Arne is the Project Executive of Wayfinder, a project with the goal of building autonomous flight and machine learning solutions to enable self-piloted aircraft operation. He is passionate about robotics and autonomous electric vehicles. He has held engineering leadership positions at global companies such as Volkswagen/Audi and Infineon, and at aspiring Silicon Valley startups, namely Lucid Motors/Atieva, Knightscope and Better Place. Arne earned a Doctor of Philosophy in Electrical and Computer Engineering from the Technical University of Munich and held a computer vision and data analysis research position at Stanford University.

Check out our blog for more in-depth details about Wayfinder

The Unique Opportunity for Rapid Progress in Autonomy in Aviation vs. Automotive

As we look to the future of the aviation industry, autonomy is a clear component of continuing to safely provide efficiency at scale. This past month, Carlo Dal Mutto, Director…

Getting to Know Wayfinder’s Owlet and the Team’s Senior Systems Integration Test Engineer, Ludovic Lelostec

What were you working on before you joined Acubed?

Wayfinding, Day or Night

At Acubed, the Wayfinder team’s mission is to build scalable and certifiable autonomy systems for future commercial aircraft. In our previous post, we described the expansion

Data Diversity for Machine Learning and AI

Large amounts of curated and labeled data are critical for the machine learning (ML) component of the perception and decision-making AI software for autonomous flight being developed…

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