7 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 BeÃler +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…