Research

INCONTROL-RL is a nationally funded research project led by TTTech. Its aim is to develop an avionics platform focusing on future certifiability and researching advantages when using Artificial Intelligence components in flight control.

The paper “Integrating Sporadic Events in Time-triggered Systems via Affine Envelope Approximations” has won Outstanding Paper Award at RTAS

Why do planes fly? What's going on inside an autonomous vehicle? Explore TTTech's technological core

In this #IMPACT25 panel, Prof. Kopetz and Wilfried Steiner discuss the evolution of real-time systems over the past 25 years and into the future.

Digitalization is one of modern manufacturing’s greatest challenges. Digital twins can make industry more efficient and sustainable

At The Autonomous Main Event 2023 in Vienna, the workshop“: Autonomous Driving and future mobility trends in R&D” was dedicated to the EU's strategy and approach to autonomous driving

Press release: SENAV improves safety and performance of AI-supported space robots

A paper submitted by TTTech Labs researchers Paraskevas Karachatzis, Jan Ruh, and Silviu S. Craciunas has been accepted at the 31st International Conference on Real-Time Networks and Systems (RTNS).

TTControl is developing solutions for a project combating global food shortages with sustainable agriculture and forestry

The European research project THEIA-XR aims to improve human-machine interaction in mobile machinery with extended reality (XR) technologies and functionalities.

The THEIA-XR project transforms human-achine interaction with Extended reality

TTTech is technical coordinator in the Horizon Europe project SENAV – a new space science and exploration technologies project aiming to improve safe navigation of landers, drones, and robot control systems.

Change2Twin, a European project supporting manufacturing SMEs in their digital twin projects, is announcing the launch of its 2nd Deployment Voucher Open Call.

In the ECSEL-JU project AFarCloud, a virtual terminal was developed that can help turn existing tractors into smart machines, capable of precision farming