Airbus, headquartered in Toulouse, France, is a global leader in the aerospace industry, offering innovative solutions in aeronautics, space, and related services.
With operations in more than 180 locations worldwide and over 131,000 employees, Airbus is Europe’s primary commercial aircraft manufacturer and a pioneer in the field.
As part of its commitment to innovation, Airbus has set an ambitious target of being the first to offer a zero-emission commercial aircraft by 2035. To achieve this goal, the company is developing the ZEROe concept aircraft, which will be powered by hydrogen.
In addition to its core business, Airbus has a thriving AI research team that specializes in solving complex scheduling and planning problems. The team has experience in developing innovative solutions for airline fleet management, satellite operation scheduling, flight test scheduling, and manufacturing task scheduling. They are also experts in explainable scheduling and reinforcement learning for manufacturing applications, and robustness, safety, and certification in machine learning for image applications.
Airbus has been working on trustworthy AI planning for several years and has earned a high degree of expertise in the field. The company is supporting the TUPLES project, which aims to develop a trustworthy and scalable platform for AI planning, with the direct involvement of its AI research team. Airbus has also developed and released the scikit-decide library, which TUPLES will build on and extend.
As part of the TUPLES project, Airbus will provide its business knowledge to two of the use cases for manufacturing and pilot operations, leading the work package dedicated to use cases and evaluation (WP6), as well as contributing to WP4 and WP5, and to a lesser extent, WP3. The team involved in the project includes Nahum Alvarez, Guillaume Poveda, and Florent Teichteil-Koenigsbuch (P&S, RL) from Toulouse, France, as well as Santiago Quintana Amate, Mark Hall, and Alistair Nottle (explainable AI) from associated partner Airbus Operations Ltd in Bristol, UK.
In conclusion, Airbus is not only a leader in the aerospace industry but also an innovator in AI research and development. With its commitment to achieving zero-emission commercial aircraft by 2035, the company is playing an essential role in shaping the future of aviation. Its involvement in the TUPLES project is another example of Airbus’s dedication to advancing the field of AI planning and its practical applications in manufacturing and pilot operations.
Online collaboration is working fine but sometimes meeting face to face is really a good thing. So we did it for the third time in KU Leuven.
We are part of a broader community of research and development efforts dedicated to advancing AI in a responsible and human-centered manner.
FAI Group, part of the Saarland Informatics Campus, contribution to the TUPLES project and ongoing research efforts in the foundations of AI are significant steps forward in advancing our understanding of this technology and ensuring its safe and responsible use in the future.
We are very pleased to announce that our coordinator, Sylvie Thiebaux, is at the prestigious IJCAI23 conference both as Area Chair and as presenter of the paper "Formal Explanations of Neural Network Policies for Planning".