22
Jul
Munich AI Lectures
Multi-Modal and Multi-Robot Coordination in Challenging Environments
Sebastian Scherer, Carnegie Mellon University (CMU)
22.07.2024
3:00 pm - 4:00 pm
TUM Garching Campus, FMI Building, Hörsaal 2 (00.04.011), Boltzmannstr. 3, 85748 Garching bei München or online via Livestream
On behalf of our partners at the Bavarian AI network baiosphere, the MCML cordially invites you to the Munich AI Lectures.
Sebastian Scherer, Associate Research Professor at the Robotics Institute (RI) at Carnegie Mellon University (CMU), will outline some of their approaches, progress, and results on multi-modal sensing, providing nuanced perception inputs, as well as navigation in difficult terrain, and extensions to multi-robot teams, and future directions of our research.
Organized by:
baiosphere
Bavarian Academy of Science and Humanities
Helmholtz Munich
LMU Munich
TUM
AI-HUB LMU
ELLIS Munich Unit
Konrad Zuse School of Excellence in Reliable AI
MCML
Munich Data Science Institute TUM
Munich Institute of Robotics and Machine Intelligence TUM
Related
Colloquium • 05.02.2025 • LMU Department of Statistics and via zoom
TBA
Colloquium at the LMU Department of Statistics with Isabel Valera (Saarland University in Saarbrücken).
Colloquium • 29.01.2025 • LMU Department of Statistics and via zoom
TBA
Colloquium at the LMU Department of Statistics with Sophie Langer (University of Twente).
Colloquium • 15.01.2025 • LMU Department of Statistics and via zoom
TBA
Colloquium at the LMU Department of Statistics with Sonja Greven (HU Berlin).
Colloquium • 11.12.2024 • LMU Department of Statistics and via zoom
TBA
Colloquium at the LMU Department of Statistics with Stijn Vansteelandt (Ghent University).
Munich AI Lectures • 25.11.2024 • Große Aula der LMU Geschwister-Scholl-Platz 1, Room 120 80539 München
The Mathematical Universe behind Deep Neural Networks
Join us on Nov 25 for Prof. Helmut Bölcskei’s lecture on the mathematical foundations driving deep neural networks, hosted by Bavarian AI at LMU.