2 citations · 4 across the 11 of their papers we have counts for
12 papers
Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations
Laura Spillner, Nima Zargham, Mihai Pomarlan +2
The need for explanations in AI has, by and large, been driven by the desire to increase the transparency of black-box machine learning models. However, such explanations, which fo…
Hanging Around: Cognitive Inspired Reasoning for Reactive Robotics
Mihai Pomarlan, Stefano De Giorgis, Rachel Ringe +2
Situationally-aware artificial agents operating with competence in natural environments face several challenges: spatial awareness, object affordance detection, dynamic changes and…
Bot Appétit! Exploring how Robot Morphology Shapes Perceived Affordances via a Mise en Place Scenario in a VR Kitchen
Rachel Ringe, Leandra Thiele, Mihai Pomarlan +4
This study explores which factors of the visual design of a robot may influence how humans would place it in a collaborative cooking scenario and how these features may influence t…
Generating Actionable Robot Knowledge Bases by Combining 3D Scene Graphs with Robot Ontologies
Giang Nguyen, Mihai Pomarlan, Sascha Jongebloed +3
In robotics, the effective integration of environmental data into actionable knowledge remains a significant challenge due to the variety and incompatibility of data formats common…
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…
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…
Handling abort commands for household kitchen robots
Darius Has, Adrian Groza, Mihai Pomarlan
We propose a solution for handling abort commands given to robots. The solution is exemplified with a running scenario with household kitchen robots. The robot uses planning to fin…
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…
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…
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…
Formalising Natural Language Quantifiers for Human-Robot Interactions
Stefan Morar, Adrian Groza, Mihai Pomarlan
We present a method for formalising quantifiers in natural language in the context of human-robot interactions. The solution is based on first-order logic extended with capabilitie…
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…