22

Jul

Teaser image to Multi-Modal and Multi-Robot Coordination in Challenging Environments

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

Link to Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics

Colloquium  •  15.01.2025  •  LMU Department of Statistics and via zoom

Additive Density-on-Scalar Regression in Bayes Hilbert Spaces With an Application to Gender Economics

15.01.25, 4-6 pm: LMU Statistics Colloquium with Sonja Greven (HU Berlin).


Link to Experimental Designs for A/B Testing in Marketplaces

AI Keynote Series  •  09.01.2025  •  Online via Zoom

Experimental Designs for a/B Testing in Marketplaces

09.01.25, 12-1:30 pm: AI Keynote Series with Chengchun Shi from London School of Economics and Political Science.