no code implementations • 6 Mar 2018 • Christian A. Mueller, Andreas Birk
Inspired by Persistent Homology, hidden groups of shape commonalities are revealed from object segment decompositions.
no code implementations • 3 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.
no code implementations • 20 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.
no code implementations • 8 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.
no code implementations • 16 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.
no code implementations • 20 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.
no code implementations • 12 Jun 2019 • Arturo Gomez Chavez, Qingwen Xu, Christian A. Mueller, Sören Schwertfeger, Andreas Birk
Underwater robot interventions require a high level of safety and reliability.
no code implementations • 26 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.