38 citations · 65 across the 3 of their papers we have counts for
4 papers
Differentiable Factor Graph Optimization for Learning Smoothers
Brent Yi, Michelle A. Lee, Alina Kloss +2
A recent line of work has shown that end-to-end optimization of Bayesian filters can be used to learn state estimators for systems whose underlying models are difficult to hand-des…
How to Train Your Differentiable Filter
Alina Kloss, Georg Martius, Jeannette Bohg
In many robotic applications, it is crucial to maintain a belief about the state of a system, which serves as input for planning and decision making and provides feedback during ta…
Accurate Vision-based Manipulation through Contact Reasoning
Alina Kloss, Maria Bauza, Jiajun Wu +3
Planning contact interactions is one of the core challenges of many robotic tasks. Optimizing contact locations while taking dynamics into account is computationally costly and, in…
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data
Alina Kloss, Stefan Schaal, Jeannette Bohg
One of the most basic skills a robot should possess is predicting the effect of physical interactions with objects in the environment. This enables optimal action selection to reac…