Search Results for author:
Found 5 papers, 0 papers with code
Translating Universal Scene Descriptions into Knowledge Graphs for Robotic Environment
Robots performing human-scale manipulation tasks require an extensive amount of knowledge about their surroundings in order to perform their actions competently and human-like.
Towards a Neuronally Consistent Ontology for Robotic Agents
It therefore employs a shared ontology to model the activity of both kinds of agents, empowering robots to learn from human experiences.
Formalising Natural Language Quantifiers for Human-Robot Interactions
We present a method for formalising quantifiers in natural language in the context of human-robot interactions.
From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation
We propose the combination of a robotics ontology (KnowRob) with a linguistically motivated one (GUM) under the upper ontology DUL.
KnowRob 2.0 — A 2nd Generation Knowledge Processing Framework for Cognition-enabled Robotic Agents
Abstract— In this paper we present K NOW R OB 2, a second generation knowledge representation and reasoning framework for robotic agents.
