7 citations · 15 across the 8 of their papers we have counts for
10 papers
From Multi-modal Property Dataset to Robot-centric Conceptual Knowledge About Household Objects
Madhura Thosar, Christian A. Mueller, Georg Jaeger +7
Tool-use applications in robotics require conceptual knowledge about objects for informed decision making and object interactions. State-of-the-art methods employ hand-crafted symb…
Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues
Arturo Gomez Chavez, Qingwen Xu, Christian A. Mueller +2
Underwater robot interventions require a high level of safety and reliability. A major challenge to address is a robust and accurate acquisition of localization estimates, as it is…
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…
Knowledge-Enabled Robotic Agents for Shelf Replenishment in Cluttered Retail Environments
Jan Winkler, Ferenc Balint-Benczedi, Thiemo Wiedemeyer +5
Autonomous robots in unstructured and dynamically changing retail environments have to master complex perception, knowledgeprocessing, and manipulation tasks. To enable them to act…
Unsupervised Watertight Mesh Generation for Physics Simulation Applications Using Growing Neural Gas on Noisy Free-Form Object Models
Tobias Fromm, Christian A. Mueller, Andreas Birk
We present a framework to generate watertight mesh representations in an unsupervised manner from noisy point clouds of complex, heterogeneous objects with free-form surfaces. The…