I have been fortunate to co-author a book and co-organize various events related to geometric methods in robotics in the last few years. This page contains the links to the book preprint, as well as to all recorded talks and live sessions. Enjoy!
Book: Riemannian Manifolds in Robot Learning, Optimization, and Control
Preprint: https://github.com/Riemannian-Robotics/Book
Main authors: Noémie Jaquier and Leonel Rozo
Contributors: Hans-Peter Schröcker, Arne Sachtler, Søren Hauberg, Andras Kupcsik, Suvrit Sra, and Alin Albu-Schäffer
Publisher: Cambridge University Press, 2027
Riemann and Gauss meet Asimov: 2nd tutorial on Geometric Methods in Robot Learning, Optimization, and Control
The second edition of our tutorial was organized at ICRA’24 in Yokohama with Leonel, Søren, Hans-Peter, and Andras, and featured Stefano and Yonghyeon as invited speakers.
Riemann and Gauss meet Asimov: A tutorial on Geometric Methods in Robot Learning, Optimization, and Control
The first edition of our tutorial was organized at IROS’22 in Kyoto with Leonel, Søren, Hans-Peter, Andras, and Nathan, and featured Arne as invited speaker.
Geometry and Topology in Robotics: Learning, Optimization, Planning, and Control
This workshop was organized for R:SS’21 with a bunch of nice people! Have a look at the talks of our invited speakers and at the accepted contributions!
Bringing Geometric Methods to Robot Learning, Optimization and Control
This was our very first workshop on geometric methods, organized at IROS’20 with Leonel, Søren, Hans-Peter, and Suvrit!