Browsing Institutt for IKT og realfag by Author "Li, Guoyuan"
Now showing items 1-12 of 12
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Co-simulation as a Fundamental Technology for Twin Ships
Hatledal, Lars Ivar; Skulstad, Robert; Li, Guoyuan; Styve, Arne; Zhang, Houxiang (Peer reviewed; Journal article, 2020)The concept of digital twins, characterized by the high fidelity with which they mimic their physical counterpart, provide potential benefits for the next generation of advanced ships. It allows analysis of data and ... -
Co-simulation-based Pre-training of a Ship Trajectory Predictor
Kanazawa, Motoyasu; Hatledal, Lars Ivar; Li, Guoyuan; Zhang, Houxiang (Chapter, 2022)A ship trajectory predictor plays a key role in the predictive decision making of intelligent marine transportation. For better prediction performance, the biggest technical challenge is how we incorporate prior knowledge, ... -
Component-Based Simulator for Modelling the Design and Dynamics of Modular Robots
Lenerand, Torstein Sundnes (Master thesis, 2018)This project presents the design of a component-based simulator used for modelling the design and movement of chain-based modular robots. This work is in collaboration with NTNU Ålesund and implemented in the Unity® game ... -
Development of adaptive locomotion of a caterpillar-like robot based on a sensory feedback CPG model
Li, Guoyuan; Zhang, Houxiang; Zhang, Jianwei; Bye, Robin Trulssen (Journal article; Peer reviewed, 2014)This paper presents a novel Control mechanism for generating adaptive locomotion of a caterpillar-like robot in complex terrain. Inspired by biological findings in studies of the locomotion of the lamprey, we employ sensory ... -
A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies
Zhang, Houxiang; Li, Guoyuan; Hatledal, Lars Ivar; Chu, Yingguang; Ellefsen, André Listou; Han, Peihua; Major, Pierre Yann; Skulstad, Robert; Wang, Tongtong; Hildre, Hans Petter (Journal article; Peer reviewed, 2022) -
Multi-sensor Data Collection and Analysis for Human Fatigue Monitoring.
Sant' Ana, Mateus (Master thesis, 2018)The human fatigue is a complex and has no universal standard to quantify or to record it. Several studies have attempted to measure with the use of machine learning techniques like Bayes Network or Deep Neural Networks. ... -
A multiple-output hybrid ship trajectory predictor with consideration for future command assumption
Kanazawa, Motoyasu; Skulstad, Robert; Li, Guoyuan; Hatledal, Lars Ivar; Zhang, Houxiang (Peer reviewed; Journal article, 2021)Onboard sensors contribute to data-driven understanding of complex and nonlinear ship dynamics in real time. By using sensors, precise ship trajectory prediction plays a key role in intelligent collision avoidance. A hybrid ... -
Neural-network-based modelling and analysis for time series prediction of ship motion
Li, Guoyuan; Kawan, Bikram; Wang, Hao; Zhang, Houxiang (Journal article, 2017)This paper presents a data-driven model for time series prediction of ship motion. Prediction based on past time series of data is a powerful function in modern ship support systems. For a large amount of ship sensor data, ... -
A sensitivity quantification approach to significance analysis of thrusters in dynamic positioning operations.
Wang, Chunlin; Li, Guoyuan; Skulstad, Robert; Cheng, Xu; Osen, Ottar Laurits; Zhang, Houxiang (Peer reviewed; Journal article, 2021)The safety of offshore operations is highly dependent on the dynamic positioning (DP) capability of a vessel. Meanwhile, DP capability comes down to the ability of the thrust generated by thrusters to counteract environmental ... -
Snake-like robot using LiDAR
Grindvik, Marcus Olai (Bachelor thesis, 2020)Denne rapporten er en fortsettelse av et mekatronikk-prosjekt som ble laget for et teoretisk redningsoppdrag etter f.eks. jordskjelv. Målet med prosjektet er å gjøre roboten mindre avhengig av stabile omgivelser. For å ... -
Survey for Interdisciplinary Co-supervision on Bachelor Thesis in Nautical Science
Wu, Baiheng; Aandahl, Hans-Ingar Johansen; Bosneagu, Romeo; Sæter, Martin Lied; Cosofret, Doru; Avram, Elena Rita; Zhang, Houxiang; Li, Guoyuan (Peer reviewed; Journal article, 2023)As the development of emerging technologies is applied in the maritime industry and nautical operations, an interdisciplinary supervision approach is expected to be designed in this subject to enable students the ability ... -
Uncertainty and sensitivity analysis for the performance evaluation of ship dynamical model
Wang, Chunlin; Wang, Tongtong; Nord, Torodd Skjerve; Zhang, Houxiang; Li, Guoyuan; Osen, Ottar (Chapter, 2022)Model uncertainty is pervasive and inherent in the engineering field. It could bring potential risks in real applications, especially for ship behaviour prediction under environmental disturbances. The evaluation and ...