Robotics

As the robotics revolution accelerates, one of our key visions is to combine simulation with real world testing across all: from control systems to AI model development, to verification and validation (V&V)

It is great to welcome partners and colleagues from the EU RobustifAI project (Robustifying Generative AI through Human-centric integration of Neural and Symbolic methods) to Siemens office for technical updates, discussions, and AI knowledge exchange.

It is a pleasure working with Prof. Alisa Rupenyan-Vasileva and the Postdoc Gabriele Fadini (ZHAW Zurich University of Applied Sciences), who are actively investigating state of the art autocalibration of high-dimensional control parameters using a combination of Digital Twin technology and AI methods.

Launched in June 2025 with a total budget of 9.3M€. The project aims to develop a rigorous design and deployment methodology tailored for reliable, robust and trustworthy Generative AI.

Nice joint research project that combines academic and industrial environments. You will work on state of art control technologies and some cool applications :).

In the coming days, I will be participating the two EU forums related to AI, robotics and autonomous driving.

Data-driven control has become more popular recently, where measurement data is exploited to design higher performance controller, robust to uncertainties and change of environment.

Glad to see quite some Digital Twin research activities from UK robotics and control peers in the workshop.

Covid time and new rules make it harder for both companies and universities. Still, this semester our R&D team at Siemens Digital Industries Software just welcomed three Master thesis/intern students coming from TU Delft Master of Robotics: Kevin Voogd, Jianfeng Cui, and Yurui Du.