[Call for participation] ICRA'24 Tutorial "Riemann and Gauss meet Asimov: 2nd Tutorial on Geometric Methods in Robot Learning, Optimization and Control"

[noemie....@gmail.com]

---- CALL FOR PARTICIPATION ----

You are kindly invited to participate in the tutorial "Riemann and Gauss meet Asimov: 2nd Tutorial on Geometric Methods in Robot Learning, Optimization and Control" to be held at ICRA 2024.
Date and location: May 17th, hybrid (Yokohama, Japan and Zoom)
Website: https://sites.google.com/view/icra-2024-tutorial-geometry/

This tutorial serves a dual purpose: to kindle the interest of the robotics community in geometric methods, often overlooked in robot learning, control, and optimization, and to underscore the critical role of differential geometry across various branches of robotics. By providing a  comprehensive introduction to geometric methods, an overview of recent relevant works in robotics, and guidance on best practices for incorporating Riemannian geometry, this tutorial equips researchers with essential tools to seamlessly integrate geometry into their work, fostering innovation and advancements in the field.

===== Sessions =====

- Tutorial: Basics of differential geometry for robotics (Noémie Jaquier & Leonel Rozo)
- Tutorial and practical session: Optimization on manifolds (Noémie Jaquier & Leonel Rozo)
- Invited talk: Geometry of interaction: port-based and energy-aware robotics (Stefano Stramigioli)
- Tutorial and practical session: Learning (Søren Hauberg)
- Invited talk: A geometric take on motion manifold learning from demonstration (Yonghyeon Lee)

- Tutorial: Good practices to use geometric methods

===== Organizers =====

- Noémie Jaquier, Karlsruhe Institute of Technology (KIT), Germany
- Leonel Rozo, Bosch center for Artificial Intelligence (BCAI), Germany
- Søren Hauberg, Technical University of Denmark, Denmark
- Hans-Peter Schröcker, Universität Innsbruck, Austria
- Andras Kupcsik, Bosch center for Artificial Intelligence (BCAI), Germany