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Found 14 papers, 1 papers with code
Planning for Learning Object Properties
Autonomous agents embedded in a physical environment need the ability to recognize objects and their properties from sensory data.
Two ways to make your robot proactive: reasoning about human intentions, or reasoning about possible futures
One way is to recognize humans' intentions and to act to fulfill them, like opening the door that you are about to cross.
Composing Complex and Hybrid AI Solutions
Progress in several areas of computer science has been enabled by comfortable and efficient means of experimentation, clear interfaces, and interchangable components, for example using OpenCV for computer vision or ROS for robotics.
On some Foundational Aspects of Human-Centered Artificial Intelligence
The burgeoning of AI has prompted recommendations that AI techniques should be "human-centered".
An Open-Source Modular Robotic System for Telepresence and Remote Disinfection
This work presents a modular mobile robot for telepresence and disinfection with UVC lamps.
Robotics
Towards Abstract Relational Learning in Human Robot Interaction
Entities are described by their attributes, and entities that share attributes are often semantically related.
Robby is Not a Robber (anymore): On the Use of Institutions for Learning Normative Behavior
Future robots should follow human social norms in order to be useful and accepted in human society.
Anticipation in collaborative music performance using fuzzy systems: a case study
We present a case study of such a system in the domain of musical improvisation.
Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations
Therefore, we further propose Bayesian learning to resolve such inconsistencies between the natural language grounding and a robot's world representation by exploiting spatio-relational information that is implicitly present in instructions given by a human.
Norms, Institutions, and Robots
We use the notion of institution as a way to formally define and encapsulate norms, and we provide a formal framework for institutions.
A framework for Culture-aware Robots based on Fuzzy Logic
Cultural adaptation, i. e., the matching of a robot's behaviours to the cultural norms and preferences of its user, is a well known key requirement for the success of any assistive application.
Scene learning, recognition and similarity detection in a fuzzy ontology via human examples
This paper introduces a Fuzzy Logic framework for scene learning, recognition and similarity detection, where scenes are taught via human examples.
The CARESSES EU-Japan project: making assistive robots culturally competent
The nursing literature shows that cultural competence is an important requirement for effective healthcare.
Using Dempster-Shafer Theory in Knowledge Representation
In this paper, we suggest marrying Dempster-Shafer (DS) theory with Knowledge Representation (KR).
