Publications

Semantic knowledge-driven A-GASeq: A dynamic graph learning approach for assembly sequence optimization
In the context of an increasingly automated and personalized manufacturing mode, efficient assembly sequence planning (ASP) has emerged …
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Human-Robot Shared Assembly Taxonomy: A step toward seamless human-robot knowledge transfer
Future manufacturing will witness a shift in human-robot relationships toward collaboration, compassion, and coevolution. This will …
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Dynamic decision-making for knowledge-enabled distributed resource configuration in cloud manufacturing considering stochastic order arrival
The emergence of COVID-19 caused the stagnation of production activities and promoted the changing market demand. These uncertainties …
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A systematic framework for tackling anomalous pre-welding workpiece postures with regular butt joints based on prototype features
In intelligent welding systems, pre-welding parameter extraction is a foremost technology in upgrading robotic welding and integrating …
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A multi-objective joint optimisation method for simultaneous part family formation and configuration design in delayed reconfigurable manufacturing system (D-RMS)
In the era of Industry 4.0, the demand fluctuation has become fiercer due to the characteristics of diversification, customisation, and …
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A method for constructing a machining knowledge graph using an improved transformer
Process knowledge base is a core component in the intelligent process, which determines the intelligent degree of product manufacturing …
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Video-Based Fatigue Estimation for Human-Robot Task Allocation Optimisation
Human-centric manufacturing paradigm requires the human-robot collaboration (HRC) system to place the well-being of workers at the …
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Vibration-based and computer vision-aided nondestructive health condition evaluation of rail track structures
In railway engineering, monitoring the health condition of rail track structures is crucial to prevent abnormal vibration issues of the …
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Semantic-aware event link reasoning over industrial knowledge graph embedding time series data
The time series data in the manufacturing process reflects the sequential state of the manufacturing system, and the fusion of temporal …
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Prognostics and health management via long short-term digital twins
Current digital twin-based Prognostics and Health Management (PHM) research mainly focuses on prediction with a few parameters or a …
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One-shot, integrated positioning for welding initial points via co-mapping of cross and parallel stripes
Robotic welding is gradually advancing towards intelligent integrated welding with integration of different seam types. In this …
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Human-Centric UAV-UGV Collaboration
With the intent to further increase production efficiency, which we get by implementing human-robot collaboration, there is a need to …
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Editorial Proceedings of 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) - Automation for a Resilient Society
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Dynamic production scheduling towards self-organizing mass personalization: A multi-agent dueling deep reinforcement learning approach
Mass personalization is rapidly approaching. In response, manufacturing systems should be capable of autonomously changing production …
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Dynamic muscle fatigue assessment using s-EMG technology towards human-centric human-robot collaboration
Human-centric human-robot collaboration (HHRC) allows seamless collaboration between humans and robots to fulfill flexible …
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Dual task scheduling strategy for personalized multi-objective optimization of cycle time and fatigue in human-robot collaboration
The increased adoption of collaborative robots into human dominated work cells improves production efficiency of hard-to-automate …
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Digital twin and parameter correlation-enabled variant design of production lines
The rapid transformation of production lines into a new design scheme is the key to improving the market competitiveness of …
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Application and Evaluation of Soft-Actor Critic Reinforcement Learning in Constrained Trajectory Planning for 6DOF Robotic Manipulators
In the field of robotic manipulator operations, precise trajectory planning for the end-effector’s position and orientation is …
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An Ontology-Based Product Modelling Method for Smart Remanufacturing
Remanufacturing is widely recognized as a sustainable manufacturing paradigm that recovers residual value and extends the life cycle of …
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A Knowledge Graph-based knowledge representation for adaptive manufacturing control under mass personalization
Mass personalization is an achievable manufacturing paradigm, which requires flexible and responsible manufacturing operations in …
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A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units
The trialing of new products in production typically suffers from quality and productivity problems because of immature manufacturing …
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Special issue on computational intelligence-based modeling, control and estimation in modern mechatronic systems
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Semantic artificial intelligence for smart manufacturing automation
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Outlook on human-centric manufacturing towards Industry 5.0
The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted formal discussions that manufacturing …
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Multi-Agent Reinforcement Learning for Real-Time Dynamic Production Scheduling in a Robot Assembly Cell
As industry rapidly shifts towards mass personalisation, the need for a decentralised multi-agent system capable of dynamic flexible …
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MES Dynamic interoperability for SMEs in the Factory of the Future perspective
Small and Medium-sized Enterprises (SMEs) hold a significant proportion in the economy and more than half of employment worldwide. …
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Experimental energy consumption analysis of neural network model compression methods on microcontrollers with applications in bird call classification
Abstract-Running deep neural networks on low-power micro-controllers has become increasingly practical with the advance-ment in …
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Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach
Digital twin technology can build virtual replicas of physical entities to observe, analyze, and control the machining process. The …
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Dynamic reconfiguration optimization of intelligent manufacturing system with human-robot collaboration based on digital twin
In Industry 4.0, the emergence of new information technology and advanced manufacturing technology (e.g., digital twin, and robot) …
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Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation
The (I, R, S) policy is a well-known inventory replenishment strategy, where inventory is raised to an order-up-to-level S at the end …
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Cloud Manufacturing - An Overview of Developments In Critical Areas, Prototypes, and Future Perspectives
Cloud manufacturing was incepted a decade ago. Researchers have since been working on this topic to find more feasible, cost-effective, …
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Automated conversion of engineering rules: Towards flexible manufacturing collaboration
Rapid on-demand manufacturing resource sharing within and between factories are critical to achieving responsive autonomous …
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An automatic method for constructing machining process knowledge base from knowledge graph
The process knowledge base is the key module in intelligent process design, it determines the intelligence degree of the design system …
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Adaptive reconstruction of digital twins for machining systems: A transfer learning approach
Digital twin technology has been gradually explored and applied in the machining process. A digital twin machining system creates …
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A general fault diagnosis framework for rotating machinery and its flexible application example
When dealing with the fault diagnosis of different rotating machines (gear or bearing), different working conditions (such as rotating …
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A fusion-based spiking neural network approach for predicting collaboration request in human-robot collaboration
In human-robot collaborative (HRC) manufacturing systems, how the collaborative robots engage in the collaborative tasks and complete …
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3DSMDA-Net: An improved 3DCNN with separable structure and multi-dimensional attention for welding status recognition
The vision-based welding status recognition (WSR) provides a basis for online welding quality control. Due to the severe arc and fume …
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Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization
Mass personalization is becoming a reality. It requires responsive and flexible manufacturing operations for producing individualized …
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Multi-scale evolution mechanism and knowledge construction of a digital twin mimic model
Metal products are susceptible to factors such as cutting force, clamping force and heat in the machining process, resulting in product …
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Multi-agent-based self-organizing manufacturing network towards mass personalization
Mass personalization is arriving. It requires smart manufacturing capabilities to responsively produce personalized products with …
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Machining process-oriented monitoring method based on digital twin via augmented reality
The change of size, surface roughness, residual stress, and so on profoundly influence the final machining quality of complex …
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Isometric-Based Approach for Detecting Localized Muscular Fatigue during Complex Dynamic Manufacturing Operations
Unstructured manufacturing environments with flexible production procedures will continue to require worker involvement due to the …
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Industry 4.0 and Industry 5.0—Inception, conception and perception
Industry 4.0, an initiative from Germany, has become a globally adopted term in the past decade. Many countries have introduced similar …
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Humans Are Not Machines—Anthropocentric Human–Machine Symbiosis for Ultra-Flexible Smart Manufacturing
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Digital Twin-driven online anomaly detection for an automation system based on edge intelligence
Accurate anomaly detection is critical to the early detection of potential failures of industrial systems and proactive maintenance …
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Digital twin modeling method based on biomimicry for machining aerospace components
High-performance aerospace component manufacturing requires stringent in-process geometrical and performance-based quality control. …
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Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model
Recent findings have shown that Digital Twin served multiple constituencies. However, the dilemma between the scope and scale needs a …
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An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents
Industrial tabular information extraction and its semantic fusion with text (ITIESF) is of great significance in converting and fusing …
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An automatic machining process decision-making system based on knowledge graph
Automatic process decision-making is a key module in intelligent process design(IPD), which determines the intelligence degree of IPD …
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An adaptive evolutionary framework for the decision-making models of digital twin machining system*
Digital twin technology is the core promoter of intelligent autonomous machining systems, which has been gradually explored and applied …
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A machining accuracy informed adaptive positioning method for finish machining of assembly interfaces of large-scale aircraft components
An assembly interface of a large-scale aircraft component is a joint surface to connect adjacent large components. To guarantee the …
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A hybrid 3D feature recognition method based on rule and graph
The implementation of automatic feature recognition (AFR) techniques is considered an indispensable concept in transferring product …
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A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19
In the wake of COVID-19, the production demand of medical equipment is increasing rapidly. This type of products is mainly assembled by …
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Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios
Smart manufacturing is arriving. It promises a future of mass-producing highly personalized products via responsive autonomous …
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Semantic communications between distributed cyber-physical systems towards collaborative automation for smart manufacturing
Machine-to-machine (M2M) communication is a crucial technology for collaborative manufacturing automation in the Industrial Internet of …
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Robotic technologies for on-site building construction: A systematic review
Robotic technologies for building construction represent a significant departure from conventional construction approaches. The use of …
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Machine Learning to Empower a Cyber-Physical Machine Tool
Machine learning is used to empower a machine tool, which gives rise to a new generation machine tool, i.e. cyber-physical machine …
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IoT-enabled smart appliances under industry 4.0: A case study
Manufacturers expect the extra value of Industry 4.0 as the world is experiencing digital transformation. Studies have proved the …
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Human Cyber-Physical Systems: A skill-based correlation between humans and machines
Cyber-Physical Systems (CPS) are an integral element of Industry 4.0, and these systems are said to have become gradually more …
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Human Capital 4.0: a workforce competence typology for Industry 4.0
Purpose: The purpose of this paper is twofold: to raise and address an important change for the human capital in the future of Industry …
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Function block-based closed-loop adaptive machining for assembly interfaces of large-scale aircraft components
To guarantee the docking accuracy of large-scale components, their assembly interfaces usually need to be finished before the final …
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Experimental Investigation of the Surface Roughness of Finish-Machined High-Volume-Fraction SiCp/Al Composites
Finish-machined high-volume-fraction SiCp/Al (SiC-particle-reinforced Al matrix) composites tend to have poor surface roughness. To …
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Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
This paper reviews the recent development of Digital Twin technologies in manufacturing systems and processes, to analyze the …
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Digital thread enabled manufacturing automation towards mass personalization
Manufacturing industries are moving towards mass personalization, which refers to the rapid production of individualized products, with …
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Decentralized coordination of autonomous AGVs for flexible factory automation in the context of Industry 4.0
Future smart factories feature flexible systems that can dynamically reconFigure manufacturing systems via near real-time system …
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Automatic extraction of engineering rules from unstructured text: A natural language processing approach
Manufacturers use cloud manufacturing platforms to offer their services. The literature has suggested a semantic web-based cloud …
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A reference human-centric architecture model: A skill-based approach for education of future workforce
As Industry 4.0 sets foot as the next Industrial Revolution, it is necessary to bear in mind the new challenges from the human …
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A reconfigurable jig assistant assembly system based on wearable devices
In the aviation industry, the novel reconfigurable jig has a good application prospect. However, compared with traditional fixed jigs, …
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Standards for smart manufacturing: A review
Manufacturing is becoming smart with capabilities of self-awareness, autonomous decision-making, and adaptive excitation and …
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ManuService ontology: a product data model for service-oriented business interactions in a cloud manufacturing environment
The ever-increasing distributed, networked and crowd-sourced cloud environment imposes the need of a service-oriented product data …
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Energy-efficient cyber-physical production network: Architecture and technologies
Energy efficiency has become an integral aspect of today’s manufacturing. As manufacturing activities become increasingly …
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Cloud-based manufacturing equipment and big data analytics to enable on-demand manufacturing services
Making manufacturing as on-demand cloud services is a transformative paradigm to achieve the required business flexibility in the …
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A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect
Cyber-Physical Machine Tools (CPMT) represent a new generation of machine tools that are smarter, well connected, widely accessible, …
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Towards cyber-physical system intelligent services in cloud manufacturing
One of the biggest challenges for industry implementation of cloud manufacturing is its complexity. Successful implementation of cloud …
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Resource virtualization: A core technology for developing cyber-physical production systems
Smart factory in the context of Industry 4.0 is the next wave of smart manufacturing solution to empower companies to rapidly configure …
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Manufacturing service reliability assessment in cloud manufacturing
Reliability of manufacturing resources is an important measure for ensuring quality of service (QoS) and for carrying out service …
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A review on digital twin in manufacturing process
Digital twin has attracted a myriad of interest. Today, the term is progressively adopted in manufacturing. Even though it is a recent …
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A digital twin reference model for smart manufacturing
Digital Twin, as an integral enabling technology that integrates multi-physics and multi-scale digital models of physical assets, is …
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Cyber-physical production network for energy-efficient manufacturing: A framework
Energy-efficiency has become an integral aspect of sustainable manufacturing. As manufacturing activities become increasingly …
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A system framework for OKP product planning in a cloud-based design environment
Nowadays, one-of-a-kind (OKP) companies, which generally operate in an ’engineer-to-order’ business mode, strive to deliver …
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A semantic web-based framework for service composition in a cloud manufacturing environment
Cloud manufacturing has been recognised as a transformative manufacturing paradigm to enable rapid production of highly customised …
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Protecting intellectual property in a cloud manufacturing environment: Requirements and strategies
In today’s knowledge economy, intangible knowledge assets have become the key drivers of organisational success. Protection of …
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Process and production planning in a cloud manufacturing environment
Cloud manufacturing provides a way for manufacturing companies to rapidly form a flexible production network to respond to the growing …
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Computer-Integrated Manufacturing, Cyber-Physical Systems and Cloud Manufacturing - Concepts and relationships
Computers are deeply entrenched in modern manufacturing systems, giving rise to technologies such as Computer Integrated Manufacturing, …
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Tool selection: A cloud-based approach
Cloud manufacturing is an emerging manufacturing model. It provides organizations with the ability to virtualize their manufacturing …
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Ontology for manufacturing resources in a cloud environment
Cloud manufacturing is a model for enabling on-demand network access to a shared pool of reconfigurable manufacturing resources that …
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Development of a Hybrid Manufacturing Cloud
Cloud manufacturing is emerging as a novel business paradigm for the manufacturing industry, in which dynamically scalable and …
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Cloud manufacturing for a service-oriented paradigm shift
Manufacturing industry is undergoing a major transformation from production-oriented business to service-oriented business, inspired by …
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A new paradigm shift for manufacturing businesses
Cloud Manufacturing is emerging as a new manufacturing paradigm which is believed to change the way industries and enterprises do their …
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