Blar i NTNU Open på forfatter "Li, Guoyuan"
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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 ... -
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 ... -
Cryptanalysis of a generic one-round key exchange protocol with strong security
Yang, Zheng; Lai, Junyu; Li, Guoyuan (Journal article, 2017)In Public-Key Cryptography (PKC) 2015, Bergsma et al. introduced an interesting one-round key exchange protocol (which will be referred to as BJS scheme) with strong security in particular for perfect forward secrecy (PFS). ... -
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-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 Methods for Decision Support in Smart Ship Operations
Han, Peihua (Doctoral theses at NTNU;2022:163, Doctoral thesis, 2022)Vessels operating on the surface of the ocean today are now increasingly equipped with sensors. This includes GPS, MRU, IMU that monitor the vessel’s motion behavior, and power, RPM, temperature sensors that monitor the ... -
Data-driven Modeling of Ship Motion Prediction Based on Support Vector Regression
Kawan, Bikram; Wang, Hao; Li, Guoyuan; Chhantyal, Khim (Journal article; Peer reviewed, 2017)This paper presents a flexible system structure to analyze and model for the potential use of huge ship sensor data to generate efficient ship motion prediction model. The noisy raw data is cleaned using noise reduction, ... -
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 ... -
Design of Constraints for a Neural Network based Thrust Allocator for Dynamic Ship Positioning
Raghunathan, Rahul Nath; Skulstad, Robert; Li, Guoyuan; Zhang, Houxiang (Chapter, 2023) -
Design of Digital Planner and 3D Vision System for Robot Bin Picking
Li, Guoyuan; Karlsen, Benjamin; Ytrøy, Vegard Herland; Mork, Ola Jon; Zhang, Houxiang (Chapter, 2023)Robot bin picking plays an important role in modern manufacturing process. In order to make these manufacturing systems more efficient and productive, it is essential to make a valid grasping plan from gripper design, ... -
Determinants, methods, and solutions of evacuation models for passenger ships: A systematic literature review
Arshad, Hossein; Emblemsvåg, Jan; Li, Guoyuan; Ostnes, Runar (Peer reviewed; Journal article, 2022)Passenger ships facilitate the mobility of people at sea and are a significant revenue stream for societies. Simultaneously, they should meet safety standards. One of the main safety pillars is offering passengers a reliable ... -
Development of a Deep Learning based Thrust Allocator for Dynamic Positioning of Fully Actuated Vessels
Raghunathan, Rahul Nath (Master thesis, 2021)Dynamic Position (DP) System is an important development in the history of marine vessels and has contributed to the development of various fields such as offshore oil and gas, offshore renewable energy, subsea pipelaying, ... -
Development of a manufacturing system for gear assembly using collaborative robots
Li, Guoyuan; Holseker, Erlend; Khodabandeh, Arvin; Sneltvedt, Isak Gamnes; Bjørnøy, Erik; Zhang, Houxiang (Chapter, 2021)Using robots in manufacturing processes is becoming more and more common. Robots can perform repetitive tasks that are not suitable for humans. Using robots in production can also save both time and money, as well as ... -
Development of a vision-based target exploration system for snake-like robots in structured environments
Li, Guoyuan; Waldum, Håkon Bjerkgaard; Grindvik, Marcus Olai; Jørundl, Ruben Svedal; Zhang, Houxiang (Peer reviewed; Journal article, 2020)Applying snake-like robots to environmental exploration has been a hot topic for years. How to achieve free navigation for target search in a complex environment in a safe and efficient manner is one of the main tasks that ... -
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 ... -
Development of Onboard Decision Supporting System for Ship Docking Operations
Zhao, Luman; Li, Guoyuan; Knut, Remøy; Wu, Baiheng; Zhang, Houxiang (Chapter, 2020)Maritime operations inevitably influenced by the wind, wave, sea currents, or other perturbations at sea. Providing decision support for these operations based on historical and real-time data of ship status is thus of ... -
Digital Twin for Structural Monitoring and Predictive Maintenance of a Maritime Crane
Villarreal Lozano, Carolina (Master thesis, 2020)Industry 4.0 has revolutionized the industries by the application of technology in multiple ways. One of its focus is digital twins, which are virtual representations of physical products simulated in specialized software ...