Search Results for author: Christian A. Mueller

Found 8 papers, 0 papers with code

From Multi-modal Property Dataset to Robot-centric Conceptual Knowledge About Household Objects

no code implementations26 Jun 2019 Madhura Thosar, Christian A. Mueller, Georg Jaeger, Johannes Schleiss, Narender Pulugu, Ravi Mallikarjun Chennaboina, Sai Vivek Jeevangekar, Andreas Birk, Max Pfingsthorn, Sebastian Zug

However, due to different sensing and acting capabilities of robots, their conceptual understanding of objects must be generated from a robot's perspective entirely, which asks for robot-centric conceptual knowledge about objects.

Decision Making

Unsupervised Learning of Shape Concepts - From Real-World Objects to Mental Simulation

no code implementations20 Nov 2018 Christian A. Mueller, Andreas Birk

Experiments show that extracted persistent commonality groups can feature semantically meaningful shape concepts; the generalization of the proposed approach is evaluated by different real-world datasets.

Robust Gesture-Based Communication for Underwater Human-Robot Interaction in the context of Search and Rescue Diver Missions

no code implementations16 Oct 2018 Arturo Gomez Chavez, Christian A. Mueller, Tobias Doernbach, Davide Chiarella, Andreas Birk

We propose a robust gesture-based communication pipeline for divers to instruct an Autonomous Underwater Vehicle (AUV) to assist them in performing high-risk tasks and helping in case of emergency.

General Classification Hand Gesture Recognition +2

Towards Robot-Centric Conceptual Knowledge Acquisition

no code implementations8 Oct 2018 Georg Jäger, Christian A. Mueller, Madhura Thosar, Sebastian Zug, Andreas Birk

Robots require knowledge about objects in order to efficiently perform various household tasks involving objects.

Common Sense Reasoning

What Stands-in for a Missing Tool? A Prototypical Grounded Knowledge-based Approach to Tool Substitution

no code implementations20 Aug 2018 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.

Visual Object Categorization Based on Hierarchical Shape Motifs Learned From Noisy Point Cloud Decompositions

no code implementations3 Apr 2018 Christian A. Mueller, Andreas Birk

Therein surface description and representation of object shape structure have significant influence on shape categorization accuracy, when dealing with real-world scenes featuring noisy, partial and occluded object observations.

Conceptualization of Object Compositions Using Persistent Homology

no code implementations6 Mar 2018 Christian A. Mueller, Andreas Birk

Inspired by Persistent Homology, hidden groups of shape commonalities are revealed from object segment decompositions.

Cannot find the paper you are looking for? You can Submit a new open access paper.