23 citations · 52 across the 14 of their papers we have counts for
15 papers
Age-Related Differences in the Perception of Eye-Gaze from a Social Robot
Lucas Morillo-Mendez, Martien G. S. Schrooten, Oscar Martinez Mozos
There is an increasing interest in social robots assisting older adults during daily life tasks. In this context, non-verbal cues such as deictic gaze are important in natural comm…
Children's Expectations, Engagement, and Evaluation of an LLM-enabled Spherical Visualization Platform in the Classroom
Emelie Fälton, Isabelle Strömstedt, Mathis Brossier +10
We present our first stage results from deploying an LLM-augmented visualization software in a classroom setting to engage primary school children with earth-related datasets. Moti…
Levels of Automation for a Mobile Robot Teleoperated by a Caregiver
Samuel Olatunji, Andre Potenza, Andrey Kiselev +3
Caregivers in eldercare can benefit from telepresence robots that allow them to perform a variety of tasks remotely. In order for such robots to be operated effectively and efficie…
Do you feel safe with your robot? Factors Influencing Perceived Safety in Human-Robot Interaction based on Subjective and Objective Measures
Neziha Akalin, Annica Kristoffersson, Amy Loutfi
Safety in human-robot interaction can be divided into physical safety and perceived safety, where the latter is still under-addressed in the literature. Investigating perceived saf…
An Open-Source Modular Robotic System for Telepresence and Remote Disinfection
Andre Potenza, Andrey Kiselev, Alessandro Saffiotti +1
In a pandemic contact between humans needs to be avoided wherever possible. Robots can take over an increasing number of tasks to protect people from being exposed to others. One s…
Reinforcement Learning Approaches in Social Robotics
Neziha Akalin, Amy Loutfi
This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through tr…
Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning
Jennifer Renoux, Uwe Köckemann, Amy Loutfi
Smart home environments equipped with distributed sensor networks are capable of helping people by providing services related to health, emergency detection or daily routine manage…
Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring
Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson +2
Robotic agents should be able to learn from sub-symbolic sensor data, and at the same time, be able to reason about objects and communicate with humans on a symbolic level. This ra…
Using infrared gas sensors in an in-vitro dynamic gut model for detecting short-chain fatty-acids: Technical Report
Martin Längkvist, Amy Loutfi, Igancio Rangel +2
Short-chain fatty acids (SCFAs), including acetate, propionate and butyrate, are organic fatty-acids that are produced when indigested carbohydrates are fermented in the colon by g…
Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations
Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson +5
Human-robot interaction often occurs in the form of instructions given from a human to a robot. For a robot to successfully follow instructions, a common representation of the worl…
Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
Marjan Alirezaie, Martin Längkvist, Michael Sioutis +1
Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcom…
Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans
Martin Längkvist, Jonas Widell, Per Thunberg +2
High resolution computed tomography (HRCT) is the most important imaging modality for interstitial lung diseases, where the radiologists are interested in identifying certain patte…
Semantic Relational Object Tracking
Andreas Persson, Pedro Zuidberg Dos Martires, Amy Loutfi +1
This paper addresses the topic of semantic world modeling by conjoining probabilistic reasoning and object anchoring. The proposed approach uses a so-called bottom-up object anchor…
A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification
Martin Längkvist, Amy Loutfi
Automatic sleep staging is a challenging problem and state-of-the-art algorithms have not yet reached satisfactory performance to be used instead of manual scoring by a sleep techn…
Reasoning for Improved Sensor Data Interpretation in a Smart Home
Marjan Alirezaie, Amy Loutfi
In this paper an ontological representation and reasoning paradigm has been proposed for interpretation of time-series signals. The signals come from sensors observing a smart envi…