08
Apr
Munich AI Lectures
Planning in the Age of Learning – For Robotic Task and Motion Planning
Marc Toussaint, TU Berlin
08.04.2024
5:00 pm - 6:00 pm
TUM, Arcisstr. 21, 80333 Munich, Room 0790 (ground floor)
On behalf of our partners at the Bavarian AI network baiosphere, the MCML cordially invites you to the Munich AI Lectures.
Task and Motion Planning (TAMP) is a standard framework in robotics for describing complex behaviors, though it doesn't necessarily imply using traditional planning methods.
The talk of Marc Toussaint from TU Berlin will explore TAMP through both planning and learning methods, and address whether achieving functionality is the sole objective and if more data is the key solution.
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 • 25.06.2025 • LMU Department of Statistics and via zoom
Practical Causal Reasoning as a Means for Ethical ML
25.06.25, 4:15-5:45 pm: Isabel Valera, Uni Saarbrücken explores fairness in ML and introduces DeCaFlow, a causal model for counterfactuals.
Colloquium • 11.06.2025 • LMU Department of Statistics and via zoom
Veridical Data Science and PCS Uncertainty Quantification
11.06.25, 4:15-5:45 pm: Bin Yu, UC Berkeley on how PCS improves AI reliability by tackling hidden uncertainty in data science decisions.