Faculty of Engineering and Science
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Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games
(Chapter, 2018)Reinforcement learning (RL) is an area of research that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in computer games. This success is primarily ... -
Path Planning for Perception-Driven Obstacle-Aided Snake Robot Locomotion
(Chapter, 2020)Development of snake robots have been motivated by the ability of snakes to move efficiently in unstructured and cluttered environments. A snake robot has the potential to utilise obstacles for generating locomotion, in ... -
Learning Environments in the 21st Century: A Mapping of the Literature
(Chapter; Peer reviewed, 2020)Education has been transformed by significant breakthroughs in AI, mobile internet, cloud computing and Big Data technologies. More personalized educational settings are developed by increasingly integrating contemporary ... -
Lightweight deep convolutional neural network for background sound classification in speech signals
(Journal article; Peer reviewed, 2022)Recognizing background information in human speech signals is a task that is extremely useful in a wide range of practical applications, and many articles on background sound classification have been published. It has not, ... -
Towards Routinely Using Virtual Reality in Higher Education
(Chapter; Peer reviewed, 2022)Virtual reality promises to be a tool that can improve higher education. Immersive virtual environments offer the chance to enrich courses with experiential learning experiences. The technological possibilities evolve ... -
Hybrid Position/Force Control for Hydraulic Actuators
(Chapter, 2020)In this paper a novel hybrid position/force control with autonomous switching between both control modes is introduced for hydraulic actuators. A hybrid position/force control structure with feed-forwarding, full-state ... -
Analysis of relationships between prior knowledge, approaches to learning, and mathematics performance among engineering students
(Journal article; Peer reviewed, 2021)Approaches to learning have been identified as crucial factors that influence students’ mathematics performance. However, there have been mixed findings on which of the different approaches improve performance in undergraduate ... -
Nonlinear Hydrostatic Restoring Characteristics of a Spar Floating Wind Turbine
(Chapter, 2022)Floating wind turbine technologies have worldwide applications. Regarding the wind turbine floater stability, there are three principal design philosophies: ballast-, buoyancy- and mooring-stabilized. Although linear ... -
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification
(Journal article, 2022)Recent advancements in natural language processing (NLP) have reshaped the industry, with powerful language models such as GPT-3 achieving superhuman performance on various tasks. However, the increasing complexity of such ... -
Radar-Based Passive Step Counter and Its Comparison with a Wrist-Worn Physical Activity Tracker
(Communications in Computer and Information Science (CCIS); no. 1616, Chapter; Peer reviewed, 2022)Inspired by novel applications of radio-frequency sensing in healthcare, smart homes, rehabilitation, and augmented reality, we present an FMCW radar-based passive step counter. If a person walks or performs other activities, ... -
Optimal terminal sliding mode control for second-order motion systems
(Chapter, 2021)Terminal sliding mode (TSM) control algorithm and its non-singular refinement have been elaborated for two decades and belong, since then, to a broader class of the finite-time controllers, which are known to be robust ... -
Localization and Activity Classification of Unmanned Aerial Vehicle using mmWave FMCW Radars
(Peer reviewed; Journal article, 2021)In this article, we present a novel localization and activity classification method for aerial vehicle using mmWave frequency modulated continuous wave (FMCW) Radar. The localization and activity classification for aerial ... -
Condition Monitoring Technologies for Synthetic Fiber Ropes - a Review
(Journal article; Peer reviewed, 2017)This paper presents a review of different condition monitoring technologies for fiber ropes. Specifically, it presents an overview of the articles and patents on the subject, ranging from the early 70’s up until today with ... -
Target Classification by mmWave FMCW Radars using Machine Learning on Range-Angle Images
(Peer reviewed; Journal article, 2021)In this paper, we present a novel multiclass-target classification method for mmWave frequency modulated continuous wave (FMCW) radar operating in the frequency range of 77 - 81 GHz, based on custom range-angle heatmaps ... -
Robust output feedback control of non-collocated low-damped oscillating load
(Chapter, 2021)For systems with order of dynamics higher than two and oscillating loads with low damping, a non-collocation of the sensing and control can deteriorate robustness of the feedback and, in worst case, even bring it to ... -
Preliminary Results on Condition Monitoring of Fiber Ropes using Automatic Width and Discrete Length Measurements
(Chapter; Peer reviewed, 2017)As the offshore sector moves to deeper waters, fiber ropes have the potential to replace more traditional solutions such as steel wire ropes for deep sea lifting and heave-compensated operations. While steel wire ropes ... -
Hybrid Position/Force Control for Hydraulic Actuators
(Chapter, 2020)In this paper a novel hybrid position/force control with autonomous switching between both control modes is introduced for hydraulic actuators. A hybrid position/force control structure with feed-forwarding, full-state ... -
Rate-Splitting Random Access Mechanism for Massive Machine Type Communications in 5G Cellular Internet-of-Things
(Chapter, 2021)The cellular Internet-of-Things has resulted in the deployment of millions of machine type communication (MTC) devices under the coverage of a single gNodeB (gNB). These massive number of devices should connect to the ... -
Stability Analysis of a Linear Parameter Varying Adaptive Output Feedback Control System
(Chapter, 2021)Output feedback control systems often require an adaptive filter for properly shaping the loop transfer function, as certain system plant parameters may be uncertain or varying. This renders the overall closed loop to a ... -
One-parameter robust global frequency estimator for slow-varying amplitude and noisy oscillations
(Journal article; Peer reviewed, 2022)Robust online estimation of oscillation frequency belongs to classical problems of system identification and adaptive control. The given harmonic signal can be noisy and with varying amplitude at the same time, as in the ...
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