Browsing NTNU Open by Author "Zhang, Houxiang"
Now showing items 21-40 of 152
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Bio-Inspired Locomotion Control of Limbless Robots
Li, Guoyuan; Zhang, Houxiang; Zhang, Jianwei (Book, 2023)This book presents a bio-inspired hierarchical control scheme step by step toward developing limbless robots capable of 3D locomotion, fast reflex response, as well as sophisticated reaction to environmental stimuli. This ... -
Bio-Signal Analysis for Human Machine Interaction
Fang, Yinfeng; Zhang, Jianhua; Kubota, Naoyuki; Zhang, Houxiang (Journal article, 2019) -
Bionic flapping pectoral fin with controllable spatial deformation
Cai, Yueri; Chen, Lingkun; Bi, Shusheng; Li, Guoyuan; Zhang, Houxiang (Journal article; Peer reviewed, 2019)This paper presents the design of a bionic pectoral fin with fin rays driven by multi-joint mechanism. Inspired by the cownose ray, the bionic pectoral fin is modeled and simplified based on the key structure and movement ... -
A Co-operative Hybrid Model For Ship Motion Prediction
Skulstad, Robert; Li, Guoyuan; Fossen, Thor I.; Wang, Tongtong; Zhang, Houxiang (Peer reviewed; Journal article, 2021)Dynamic models of ships have been widely used for model-based control and short-term prediction in the past. Identifying the parameters of such models has mainly been done through scaled model tests, full scale tests or ... -
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, ... -
A Co-simulation-Based System Using Vico for Marine Operation
Liu, Zizheng; Chu, Yingguang; Li, Guoyuan; Zhang, Houxiang (Chapter, 2023)Marine operations are becoming more and more demanding. Efficient modeling and analysis of marine operations under environmental effects, especially in high sea states, will provide a means to improve operational safety. ... -
Component-based Modelling and Simulation for Marine Crane System Design.
Li, Yu (Master thesis, 2016)This master thesis is going to develop a hydraulic components library for modelling and simulation for marine crane system design. The topic of this thesis is "Component-based modelling and simulation for marine crane ... -
Concept Design and Simulation of a Water Proofing Modular Robot for Amphibious Locomotion
Li, Guoyuan; Urbina, Rodrigo; Zhang, Houxiang; Gomez, Juan Gonzalez (Chapter, 2017)This paper will introduce a novel adaptive modular robot for amphibious locomotion research. First, an overview of modular robotic research is given systematically. In this project, we concentrate on designing a new kind ... -
Controlling Kuka Industrial Robots : Flexible Communication Interface JOpenShowVar.
Sanfilippo, Filippo; Hatledal, Lars Ivar; Zhang, Houxiang; Fago, Massimiliano; Pettersen, Kristin Ytterstad (Journal article, 2015)JOpenShowVar is a Java open-source cross-platform communication interface to Kuka industrial robots. This novel interface allows for read-write use of the controlled manipulator variables and data structures. JOpenShowVar, ... -
Coupling of dynamic reaction forces of a heavy load crane and ship motion responses in waves
Chu, Yingguang; Li, Guoyuan; Hatledal, Lars Ivar; Holmeset, Finn Tore; Zhang, Houxiang (Peer reviewed; Journal article, 2021)The conventional approach to dynamic analysis of ship motion response with shipboard operation equipment is usually done by establishing combined equations of motion of the multi-body system. The weakness of such methods ... -
A Cross-Modal Integrated Sensor Fusion System for Fatigue and Awareness Assessment in Demanding Marine Operations
Monteiro, Thiago Gabriel (Doctoral theses at NTNU;2021:34, Doctoral thesis, 2021)The maritime domain is characterized by demanding operations. These operations can be especially complex and dangerous when they require coordination between different maritime vessels and several maritime operators. ... -
Data analysis and modelling for onboard support of marine operations
Wang, Chunlin (Doctoral theses at NTNU;2023:253, Doctoral thesis, 2023)The ever-increasing exploration of ocean resources has led to more frequent and intensive marine operations. However, marine operations are vulnerable to accidents due to unpredictable environmental factors and human ... -
Data-Based Modelling of Ships for Motion Prediction and Control Allocation
Skulstad, Robert (Doctoral theses at NTNU;2021:383, Doctoral thesis, 2021)Vessels operating on the surface of the ocean are exposed to an array of disturbances. These may come in terms of environmental disturbances, but may also come from signal loss. Modelling the behaviour of ships using ... -
Data-driven enhancement to ship dynamic model for motion prediction
Kanazawa, Motoyasu (Doctoral theses at NTNU;2023:247, Doctoral thesis, 2023)Ensuring safety and efficiency is the most critical agenda for the maritime industry. It is essential to have a good understanding of ship dynamics and make accurate predictions of ship motion. This enables us to properly ... -
Data-Driven Prediction of Ship Propulsion Power Using Spark Parallel Random Forest on Comprehensive Ship Operation Data
Liang, Qin; Vanem, Erik; Knutsen, Knut Erik; Zhang, Houxiang (Chapter, 2022)This paper aims to propose an efficient machine learning framework for maritime big data and use it to train a random forest model to estimate ships’ propulsion power based on ship operation data. The comprehensive data ... -
Data-driven sea state estimation for vessels using multi-domain features from motion responses
Han, Peihua; Li, Guoyuan; Skjong, Stian; Wu, Baiheng; Zhang, Houxiang (Chapter, 2021)Situation awareness is of great importance for autonomous ships. One key aspect is to estimate the sea state in a real-time manner. Considering the ship as a large wave buoy, the sea state can be estimated from motion ... -
Data-driven Uncertainty and Sensitivity Analysis for Ship Motion Modeling in Offshore Operations
Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Major, Pierre Yann; Chen, Shengyong; Hildre, Hans Petter; Zhang, Houxiang (Journal article; Peer reviewed, 2019)To build a compact data-driven ship motion model for offshore operations that require high control safety, it is necessary to select the most influential parameters and to analyze the uncertainty of the input parameters. ... -
Dead Reckoning of Dynamically Positioned Ships: Using an Efficient Recurrent Neural Network
Skulstad, Robert; Li, Guoyuan; Fossen, Thor I.; Vik, Bjørnar; Zhang, Houxiang (Journal article; Peer reviewed, 2019)When a ship experiences a loss of position reference systems, its navigation system typically enters a mode known as dead reckoning (DR) to maintain an estimate of its position. Commercial systems perform this task using ... -
A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data
Han, Peihua; Li, Guoyuan; Skulstad, Robert; Skjong, Stian; Zhang, Houxiang (Peer reviewed; Journal article, 2020)Vessels today are being fully monitored, thanks to the advance of sensor technology. The availability of data brings ship intelligence into great attention. As part of ship intelligence, the desire of using advanced ...