From the 1 of 6 linked papers with an AI index.
6 papers
Horizon Selection in Physics-Enhanced Neural ODEs: Theoretical Insights and Flux Linkage Application
Giulio Montecchio, Benjamin Hartmann, Sven Reimann +3
The paper investigates how the integration horizon used during training influences physics-enhanced Neural ODEs, proposing longer horizons to reduce bias in physical parameter esti…
Joint identification of permanent magnet synchronous machine and inverter
Giulio Montecchio, Sven Reimann, Benjamin Hartmann +3
In electric drive modeling, identifying the magnetic flux maps is essential for predicting accurately the torque, parameterizing a controller for tracking the torque or creating a…
Attention Normalization Impacts Cardinality Generalization in Slot Attention
Markus Krimmel, Jan Achterhold, Joerg Stueckler
Object-centric scene decompositions are important representations for downstream tasks in fields such as computer vision and robotics. The recently proposed Slot Attention module,…
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model
Suresh Guttikonda, Jan Achterhold, Haolong Li +2
In autonomous navigation settings, several quantities can be subject to variations. Terrain properties such as friction coefficients may vary over time depending on the location of…
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
Jan Achterhold, Joerg Stueckler
In this paper, we learn dynamics models for parametrized families of dynamical systems with varying properties. The dynamics models are formulated as stochastic processes condition…
Learning a Terrain- and Robot-Aware Dynamics Model for Autonomous Mobile Robot Navigation
Jan Achterhold, Suresh Guttikonda, Jens U. Kreber +2
Mobile robots should be capable of planning cost-efficient paths for autonomous navigation. Typically, the terrain and robot properties are subject to variations. For instance, pro…