I am Noémie Jaquier, I am a WASP-affiliated Assistant Professor at the KTH Royal Institute of Technology in Stockholm. I am the head of the Geometric Robot Learning (GeoRob) Lab in the Division of Robotics, Perception, and Learning.

Previously, I was a postdoctoral researcher in the  High Performance Humanoid Technologies Lab (H²T) at KIT and a visiting postdoctoral scholar at the Stanford Robotics Lab. I received my PhD from EPFL in 2020 and did a PhD sabbatical at the Bosch Center for AI during this time.

In my research, I leverage differential geometry and physics-based inductive bias to develop data-efficient robot learning, optimization, and control algorithms with sound theoretical guarantees.

GEOMANIP, my project on the geometric nature of deformable object manipulation, has received an ERC Starting Grant! I will be recruiting PhD students and postdocs soon, stay tuned if you are interested!

The preprint of our book “Riemannian Manifolds in Robot Learning, Optimization, and Control” is now available online!

Photo credits: Christer Gummesson