{"id":10,"date":"2024-10-29T21:30:37","date_gmt":"2024-10-29T21:30:37","guid":{"rendered":"https:\/\/njaquier.ch\/?page_id=10"},"modified":"2026-06-04T15:50:33","modified_gmt":"2026-06-04T15:50:33","slug":"home","status":"publish","type":"page","link":"https:\/\/njaquier.ch\/","title":{"rendered":""},"content":{"rendered":"\n

Welcome!<\/h1>\n\n\n\n
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I am No\u00e9mie Jaquier, I am a WASP<\/a>-affiliated Assistant Professor at the KTH Royal Institute of Technology<\/a> in Stockholm. I am the head of the Geometric Robot Learning (GeoRob) Lab<\/a> in the Division of Robotics, Perception, and Learning<\/a>.<\/p>\n\n\n\n

Previously, I was a postdoctoral researcher in the  High Performance Humanoid Technologies Lab (H\u00b2T)<\/a> at KIT<\/a> and a visiting postdoctoral scholar at the Stanford Robotics Lab<\/a>. I received my PhD from EPFL<\/a> in 2020 and did a PhD sabbatical at the Bosch Center for AI<\/a> during this time. <\/p>\n\n\n\n

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. <\/p>\n\n\n\n

The preprint of our book “Riemannian Manifolds in Robot Learning, Optimization, and Control”<\/a> is now available online! <\/p>\n<\/div>

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<\/p>\n","protected":false},"excerpt":{"rendered":"

Welcome! I am No\u00e9mie 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 (H\u00b2T) at KIT … <\/p>\n

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