Blar i Institutt for teknisk kybernetikk på tittel
Viser treff 580-599 av 3665
-
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning
(Peer reviewed; Journal article, 2022)We investigate the effect of including application knowledge about a robotic system states’ causal relations when generating explanations of deep neural network policies. To this end, we compare two methods from explainable ... -
Cautious MPC-based control with Machine Learning
(Master thesis, 2018)Using Gaussian processes as a nonparametric regression model together with model predictive control has the recent years showed promising results by utilizing the expected uncertainty that follows the GP. By utilizing the ... -
Cautious optimization - based with Machine Learning
(Master thesis, 2020)Model Predictive Control (MPC) algoritmer har blitt en utbredt teknikk innen industriell kontrol. I de senere årene har MPC drevne kontrollere utvidet sitt virkeomr åde og er å finne innen stadig nye forskningsfelt, som ... -
Centralised versus Decentralised Control Reconfiguration for Collaborating Underwater Robots
(Journal article, 2015)The present paper introduces an approach to fault-tolerant reconfiguration for collaborating underwater robots. Fault-tolerant reconfiguration is obtained using the virtual actuator approach, Steffen (2005). The paper ... -
Centrifugal Compressor Load Sharing with the use of MPC
(Master thesis, 2013)The work presented in this thesis examines the possibilities of having compressors running in an optimal manner which can result in energy savings. This research looks at how a compressor operates and the problems which ... -
Centrifugal Compressor Load Sharing with the use of MPC
(Master thesis, 2013)The work presented in this thesis examines the possibilities of having compressors running in an optimal manner which can result in energy savings. This research looks at how a compressor operates and the problems which ... -
CERBERUS in the DARPA Subterranean Challenge
(Peer reviewed; Journal article, 2022)This article presents the core technologies and deployment strategies of Team CERBERUS that enabled our winning run in the DARPA Subterranean Challenge finals. CERBERUS is a robotic system-of-systems involving walking and ... -
CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge
(Journal article, 2021)Autonomous exploration of subterranean environments constitutes a major frontier for robotic systems as underground settings present key challenges that can render robot autonomy hard to achieve. This has motivated the ... -
CFD Icing Simulations on a Fixed-wing UAV Engine Inlet
(Chapter, 2023)Unmanned aerial vehicles (UAVs), or drones, are increasingly used in diverse commercial and military applications. Ensuring their reliability is crucial to prevent endangering mission targets, people, and infrastructure. ... -
CFD Simulations of Heave-Induced Pressure Oscillations in a Drilling System
(Master thesis, 2015)Managed pressure drilling is an advanced collection of techniques to enhance annular pressure control. During offshore drilling, the heave motion of the rig causes large surge and swab pressure variations down the hole. ... -
Characteristic current flow through a stocked conical sea-cage with permeable lice shielding skirt
(Peer reviewed; Journal article, 2021)The characteristic current flow field around a 55 m deep full-scale stocked conical Atlantic salmon sea-cage equipped with a 10 m permeable skirt was studied experimentally using acoustic Doppler velocimeters and profilers. ... -
Characterization of a commercial LIDAR module for use in camera triggering system
(Master thesis, 2018)Light based time of flight sensors have seen a rapid development from traditional rotating LiDAR sensors in the recent years. Lower price, smaller form-factor and increased robustness trough solid-state are key factors for ... -
Characterization of behaviour in tank rearing of salmon using machine vision and machine learning
(Master thesis, 2020)Automatisk klassifisering av lakseadferd er en etterspurt løsning i oppdrettsindustrien. God klassifisering vil hjelpe med tidlig deteksjon av uønskede situasjoner, som f. eks spredningen av en sykdom eller H2S opphopning. ... -
Characterization of body diodes in the-state-of-the-art SiC FETs-Are they good enough as freewheeling diodes?
(Chapter, 2018)This paper investigates the switching phenomenon of body diodes in the state-of-the-art discrete SiC FETs. A comparative performance evaluation of the body diodes in planar and double-trench SiC MOS-FETs, and trench cascode ... -
Characterizing Spectral Response in Thermal Environments, the HYPSO-1 Hyperspectral Imager
(Journal article; Peer reviewed, 2022) -
Chat Functionality for Communication between Centralized Control Room and Field Operators in a Nuclear Power Plant
(Master thesis, 2013)The Nuclear Power Industry nowadays is still operating with communication equipment that does not utilize the technology that has become common the last 20 years. There is a desire to upgrade these communication systems, ... -
Choice and design of 6 degree-of-freedom observer for ROVs operating in fish farms in the presence of time-varying environmental disturbances
(Master thesis, 2023)Fjernstyrte undervannsfarkoster (ROVer) har blitt et nyttig verktøy for inspeksjon og vedlikehold i oppdrettsnæringen. Denne oppgaven dokumenterer valg, utvikling, implementering og fullskala testing av en observer til en ... -
CIRAL: a hybrid active learning framework for plankon taxa labeling
(Journal article; Peer reviewed, 2021)With the complex structure of planktonic species and an immense amount of data captured from autonomous underwater vehicles (AUVs), a large burden is placed on the domain experts for plankton taxa labeling. At the same ... -
Classification and Interpretation of Cerebral Palsy-related movements by means of Multivariate Analysis
(Master thesis, 2019)Cerebral parese er en samlebetegnelse på tilstander med endret motorisk funksjon forårsaket av en permanent skade på hjernen. Påvirkningen denne skaden har på motorisk funksjon er veldig individuelt og er derfor vanskelig ... -
Classification in hyperspectral images by independent component analysis, segmented cross-validation and uncertainty estimates
(Journal article; Peer reviewed, 2018)Independent component analysis combined with various strategies for cross-validation, uncertainty estimates by jack-knifing and critical Hotelling’s T2 limits estimation, proposed in this paper, is used for classification ...