activity
20202026
most citedReasoning Systems for Semantic Navigation in Mobile Robots

6 citations · 8 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO2026★ 6 cited

Reasoning Systems for Semantic Navigation in Mobile Robots

Jonathan Crespo, Ramón Barber, O. M. Mozos +2

Semantic navigation is the navigation paradigm in which environmental semantic concepts and their relationships are taken into account to plan the route of a mobile robot. This par…

q-bio.NC2025★ 1 cited

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review

Robin Nolte, Mihai Pomarlan, Ayden Janssen +7

Background: Metacognition has gained significant attention for its potential to enhance autonomy and adaptability of artificial agents but remains a fragmented field: diverse theor…

q-bio.NC2025★ 1 cited

Neuronal Correlates of Semantic Event Classes during Presentation of Complex Naturalistic Stimuli: Anatomical Patterns, Context-Sensitivity, and Potential Impact on shared Human-Robot Ontologies

Florian Ahrens, Mihai Pomarlan, Daniel Beßler +2

The present study forms part of a research project that aims to develop cognition-enabled robotic agents with environmental interaction capabilities close to human proficiency. Thi…

cs.RO2023

An Ontological Model of User Preferences

Mona Abdel-Keream, Daniel Beßler, Ayden Janssen +4

The notion of preferences plays an important role in many disciplines including service robotics which is concerned with scenarios in which robots interact with humans. These inter…

cs.RO2023

Translating Universal Scene Descriptions into Knowledge Graphs for Robotic Environment

Giang Hoang Nguyen, Daniel Bessler, Simon Stelter +2

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. In…

q-bio.NC2023

Towards a Neuronally Consistent Ontology for Robotic Agents

Florian Ahrens, Mihai Pomarlan, Daniel Beßler +3

The Collaborative Research Center for Everyday Activity Science & Engineering (CRC EASE) aims to enable robots to perform environmental interaction tasks with close to human capaci…

cs.DB2021

Prolog as a Querying Language for MongoDB

Daniel Beßler, Sascha Jongebloed, Michael Beetz

Today's database systems have shown to be capable of supporting AI applications that demand a lot of data processing. To this end, these systems incorporate powerful querying langu…

cs.RO2020

Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents

Daniel Beßler, Robert Porzel, Mihai Pomarlan +5

In this paper, we present foundations of the Socio-physical Model of Activities (SOMA). SOMA represents both the physical as well as the social context of everyday activities. Such…