41 citations
- KTH Royal Institute of TechnologySE5 papers
- Norwegian University of Science and TechnologyNO3 papers
- SINTEF Energy ResearchNO3 papers
- Mälardalen UniversitySE2 papers
- ABB (Switzerland)CH1 paper
- Brazilian Institute of Neuroscience and NeurotechnologyBR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- City University of Hong KongHK1 paper
- Eindhoven University of TechnologyNL1 paper
- Ericsson (Sweden)SE1 paper
- Istituto Nazionale di Fisica Nucleare, Sezione di Milano BicoccaIT1 paper
- Justus-Liebig-Universität GießenDE1 paper
18 papers
Reliable Thermal Monitoring of Electric Machines through Machine Learning
Panagiotis Kakosimos
The electrification of powertrains is rising as the objective for a more viable future is intensified. To ensure continuous and reliable operation without undesirable malfunctions,…
Behavior Trees in Industrial Applications: A Case Study in Underground Explosive Charging
Mattias Hallen, Matteo Iovino, Shiva Sander-Tavallaey +1
In industrial applications Finite State Machines (FSMs) are often used to implement decision making policies for autonomous systems. In recent years, the use of Behavior Trees (BT)…
Formal Verification of Consistency for Systems with Redundant Controllers
Bjarne Johansson, Bahman Pourvatan, Zahra Moezkarimi +2
A potential problem that may arise in the domain of distributed control systems is the existence of more than one primary controller in redundancy plans that may lead to inconsiste…
An experiment on an automated literature survey of data-driven speech enhancement methods
Arthur dos Santos, Jayr Pereira, Rodrigo Nogueira +3
The increasing number of scientific publications in acoustics, in general, presents difficulties in conducting traditional literature surveys. This work explores the use of a gener…
Review of 5G capabilities for smart manufacturing
Joachim Sachs, Krister Landernäs
5G has been defined to address new use cases beyond consumer-focused mobile broadband services. In particular industrial use cases, for example in smart manufacturing, have been ad…
Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation
Shahbaz Abdul Khader, Hang Yin, Pietro Falco +1
Deep reinforcement learning (DRL) has been successfully used to solve various robotic manipulation tasks. However, most of the existing works do not address the issue of control st…