208 citations · 456 across the 16 of their papers we have counts for
16 papers
Stress Detection Using Wearable Physiological and Sociometric Sensors
Oscar Martinez Mozos, Virginia Sandulescu, Sally Andrews +4
Stress remains a significant social problem for individuals in modern societies. This paper presents a machine learning approach for the automatic detection of stress of people in…
Qualitative Prediction of Multi-Agent Spatial Interactions
Sariah Mghames, Luca Castri, Marc Hanheide +1
Deploying service robots in our daily life, whether in restaurants, warehouses or hospitals, calls for the need to reason on the interactions happening in dense and dynamic scenes.…
A Neuro-Symbolic Approach for Enhanced Human Motion Prediction
Sariah Mghames, Luca Castri, Marc Hanheide +1
Reasoning on the context of human beings is crucial for many real-world applications especially for those deploying autonomous systems (e.g. robots). In this paper, we present a ne…
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
Luca Castri, Sariah Mghames, Marc Hanheide +1
Identifying the main features and learning the causal relationships of a dynamic system from time-series of sensor data are key problems in many real-world robot applications. In t…
Towards Long-term Autonomy: A Perspective from Robot Learning
Zhi Yan, Li Sun, Tomas Krajnik +2
In the future, service robots are expected to be able to operate autonomously for long periods of time without human intervention. Many work striving for this goal have been emergi…
From Continual Learning to Causal Discovery in Robotics
Luca Castri, Sariah Mghames, Nicola Bellotto
Reconstructing accurate causal models of dynamic systems from time-series of sensor data is a key problem in many real-world scenarios. In this paper, we present an overview based…