@inproceedings {pub3646pub3696,
	title = {Which tool to use? Grounded reasoning in everyday environments with assistant robots},
	author = {Lydia Fischer AND Stephan Hasler AND J{\"o}rg Deigm{\"o}ller AND Thomas Schn{\"u}rer AND Michael Redert AND Ulrike Pluntke AND Katrin Nagel AND Chris Senzel AND Andreas Richter AND Julian Eggert},
	year = {2018},
	month = {October},
	abstract = {In this paper, we present a reasoning agent embodied into a mobile robot that is able to explore its environment by a camera. 
The robot can infer missing knowledge given an intent and object by the user, like for example "I want to open a wine bottle". 
Available tools are shown to the robot and it finally recommends the most suitable one. 
The reasoning is on one hand side a static ontology that describes how to relate the intends like  {\textquotedblleft}open{\textquotedblright} and {\textquotedblleft}cut{\textquotedblright} with a 
fixed set of tools. On the other hand, unknown intends and tools are resolved by looking up for synonyms or super/sub-class 
relations in WikiData and WordNet. By this, the robot tries to map unknown knowledge from linked data to its internal 
interpretable ontology.
To retrace the reasoning process, the robot is able to explain its conclusions by text to speech. Finally, we show the 
performance of the system based on different weights for scanning the linked data.},
	publisher = {CEUR Workshop Proceedings},
	booktitle = {International Cognitive Robotics Workshop (CogRob)}
}