7 citations · 13 across the 8 of their papers we have counts for
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cs.AI2020★ 1 cited
URoboSim -- An Episodic Simulation Framework for Prospective Reasoning in Robotic Agents
Michael Neumann, Sebastian Koralewski, Michael Beetz
Anticipating what might happen as a result of an action is an essential ability humans have in order to perform tasks effectively. On the other hand, robots capabilities in this re…
cs.AI2020
Automated acquisition of structured, semantic models of manipulation activities from human VR demonstration
Andrei Haidu, Michael Beetz
In this paper we present a system capable of collecting and annotating, human performed, robot understandable, everyday activities from virtual environments. The human movements ar…
cs.AI2015★ 7 cited
Reasoning about Unmodelled Concepts - Incorporating Class Taxonomies in Probabilistic Relational Models
Daniel Nyga, Michael Beetz
A key problem in the application of first-order probabilistic methods is the enormous size of graphical models they imply. The size results from the possible worlds that can be gen…