7 citations · 15 across the 8 of their papers we have counts for
6 papers · 1 filter
Unsupervised Learning of Shape Concepts - From Real-World Objects to Mental Simulation
Christian A. Mueller, Andreas Birk
An unsupervised shape analysis is proposed to learn concepts reflecting shape commonalities. Our approach is two-fold: i) a spatial topology analysis of point cloud segment constel…
Towards Robot-Centric Conceptual Knowledge Acquisition
Georg Jäger, Christian A. Mueller, Madhura Thosar +2
Robots require knowledge about objects in order to efficiently perform various household tasks involving objects. The existing knowledge bases for robots acquire symbolic knowledge…
What Stands-in for a Missing Tool? A Prototypical Grounded Knowledge-based Approach to Tool Substitution
Madhura Thosar, Christian A. Mueller, Sebastian Zug
When a robot is operating in a dynamic environment, it cannot be assumed that a tool required to solve a given task will always be available. In case of a missing tool, an ideal re…
Visual Object Categorization Based on Hierarchical Shape Motifs Learned From Noisy Point Cloud Decompositions
Christian A. Mueller, Andreas Birk
Object shape is a key cue that contributes to the semantic understanding of objects. In this work we focus on the categorization of real-world object point clouds to particular sha…
Conceptualization of Object Compositions Using Persistent Homology
Christian A. Mueller, Andreas Birk
A topological shape analysis is proposed and utilized to learn concepts that reflect shape commonalities. Our approach is two-fold: i) a spatial topology analysis of point cloud se…
Robust Continuous System Integration for Critical Deep-Sea Robot Operations Using Knowledge-Enabled Simulation in the Loop
Christian A. Mueller, Tobias Doernbach, Arturo Gomez Chavez +2
Deep-sea robot operations demand a high level of safety, efficiency and reliability. As a consequence, measures within the development stage have to be implemented to extensively e…