Publications

This paper introduces a computationally efficient control scheme for safe human-robot interaction. The method relies on the Explicit Reference Governor (ERG) formalism to enforce input and state constraints in real-time, thus ensuring that the robot can safely operate in close proximity to humans. The resulting constrained control method can steer the robot arm to the desired end-effector pose (or a steady-state admissible approximation thereof) ...

The rigidity of traditional network architectures, with tightly coupled control and data planes, impairs their ability to adapt to highly dynamic requirements of future application domains. While Software-Defined Networking (SDN) can provide the required dynamism, it suffers from scalability issues. Therefore, efforts have been made to propose alternative decentralized solutions, such as the flat distributed SDN architecture. Such alternatives ...

BACKGROUND: User-friendly information at the point of care for health care professionals should be well structured, rapidly accessible, comprehensive, and trustworthy. The reliability of information and the associated methodological process must be clear. There is no standard tool to evaluate the trustworthiness of such point-of-care (POC) information. OBJECTIVE: We aim to develop and validate a new tool for assessment of trustworthiness of ...

Despite great advancements in hardware-assisted virtualization of the x86 architecture, certain workloads still suffer significant overhead. This work dissects said overhead in the context of multithreading. We describe the state of the art, pinpoint challenges and suggest improvements, aiming to provide a valuable reference to developers and users of virtualization systems alike. We study the virtualization overhead of the PARSEC and SPLASH2X ...

We introduce DeepProbLog, a neural probabilistic logic programming language that incorporates deep learning by means of neural predicates. We show how existing inference and learning techniques of the underlying probabilistic logic programming language ProbLog can be adapted for the new language. We theoretically and experimentally demonstrate that DeepProbLog supports (i) both symbolic and subsymbolic representations and inference, (ii) program ...

For the past decades there has been a rising interest for wireless sensor networks to obtain information about an environment. One interesting modality is that of audio, as it is highly informative for numerous applications including automatically classifying domestic activities that is focussed on in this work. However, as they operate at prohibitively high energy consumption, commercialisation of battery-powered wireless acoustic sensor ...