Lihui Wang

KTH Royal Institute of Technology | KTH · Department of Production Engineering (IIP)

Journal of Engineering Design, Special Issue https://www.tandfonline.com/action/newsAndOffers?journalCode=cjen20 To contribute to this issue, submissions in the following topics, but are not limited to, are highly encouraged: Advances in cognitive intelligence fundamentals/theories Knowledge extraction/representation for cognitive intelligence Kno...

In order to provide a forum for presenting the state-of-the-art advances on smart robotics for manufacturing, this special issue is set up, which contains twenty-one articles covering a variety of topics, including motion planning, prediction and compensation of robot tracking error, robot service scheduling, robotic cell for Industry 4.0, skill le...

The combination of Augmented Reality (AR) and Digital Twin (DT) has begun to show its potential nowadays, leading to a growing research interest in both academia and industry. Especially under the currenthuman-centric trend, AR embraces the potential to integrate operators into the new generation of Human-Cyber–Physical System (HCPS), in which DT i...

Human-Robot Collaboration (HRC) has a pivotal role in smart manufacturing for strict requirements of human-centricity, sustainability, and resilience. However, existing HRC development mainly undertakes either a human-dominant or robot-dominant manner, where human and robotic agents reactively perform operations by following pre-defined instruction...

In the process of metal cutting, the effective monitoring of tool wear is of great significance to ensure the machining quality of parts. Aiming at the problem of tool wear monitoring, a tool wear recognition and prediction method based on stack sparse self-coding network is proposed. This method can simplify the establishment process of monitoring...

Cloud manufacturing is a service-oriented manufacturing model that offers manufacturing resources as cloud services. Robots are an important type of manufacturing resources. In cloud manufacturng, large-scale distributed robots are encapsulated into cloud services and provided to consumers in an on-demand manner. How to effectively and efficiently...

Cloud manufacturing is a manufacturing model that aims to deliver on-demand manufacturing services to consumers. Scheduling is an important problem that needs to be addressed carefully and effectively for cloud manufacturing to achieve that aim. Cloud manufacturing allows consumers to submit their requirements to the cloud platform simultaneously a...

In line with human-centric smart manufacturing, modern factories are striving for an ever-higher degree of flexible and resilient production, as the conventional automation approach has reached its bottleneck considering mass personalization with increasing complicatedness and complexity. To achieve it, human-robot collaboration (HRC) becomes a pre...

Globally, advanced manufacturing industries are transitioning from technology-driven to value-driven development. These industries are prominent in using innovative technologies to create and improve existing products by capitalizing on existing and foreseeable ICT infrastructure in areas such as automation, computation, informatization, and digita...

To facilitate the personalized smart manufacturing paradigm with cognitive automation capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by offering an adaptive and flexible solution. DRL takes the advantages of both Deep Neural Networks (DNN) and Reinforcement Learning (RL), by embracing the power of representa...

Implementing an industrial collaborative robot for Human-Robot Collaboration (HRC) in the automotive manufacturing industry is an emerging technology-driven solution aiming to increase production efficiency and reduce the human operator's ergonomic load. Successful implementation of innovative technology depends on technical feasibility and on the...

Transactions of the ASME Journal of Manufacturing Science and Engineering

In this paper, we consider a millimeter wave multiple-input single-output tracking system, where the time-varying angle of departure (AoD) is assumed to change following a discrete state Markov process. Depending on whether the associated AoD transition function is available or not, we propose two different training beam sequence design approaches....

In the process of milling titanium alloy, workpiece surface roughness is mainly affected by cutting parameters, tool angle, tool shape and system vibration. There is a complex highly nonlinear relationship among these factors, which makes it impossible to build an accurate mathematical model. Therefore, an effective surface roughness prediction met...

Deep reinforcement learning (DRL) has proven to be an effective framework for solving various complex control problems. In manufacturing, industrial robots can be trained to learn dexterous manipulation skills from raw pixels with DRL. However, training robots in the real world is a time-consuming, high-cost and of safety concerns process. A freque...

Quadruped robots have the advantages of traversing complex terrains that are difficult for wheeled robots. Most of the reported quadruped robots are built by rigid parts. This paper proposes a new design of quadruped robots using soft actuators driven by tendons as the four legs. Compared to the rigid robots, the proposed soft quadruped robot has i...

In cloud manufacturing systems, fault diagnosis is essential for ensuring stable manufacturing processes. The most crucial performance indicators of fault diagnosis models are generalization and accuracy. An urgent problem is the lack and imbalance of fault data. To address this issue, in this article, most of existing approaches demand the label o...

The term “Metaverse” first used in Neal Stephenson's sci-fi book Snow Crash in 1992, refers to a fusion of virtual and real existence. Nearly 30 years later, that definition is taking shape and promises to alter how people live and operate. This next evolution of Internet also known as Web3.0 will combine digital and physical elements. Multiple def...

Trends toward the globalization of the manufacturing industry and the increasing demands for small-batch, short-cycle, and highly customized products result in complexities and fluctuations in both external and internal manufacturing environments, which poses great challenges to manufacturing enterprises. Fortunately, recent advances in the Industr...

An Industrial Internet platform is acknowledged to be a requisite promoter for smart manufacturing, enabling physical manufacturing resources to be virtualized and permitting resources to collaborate in the form of services. As a central function of the platform, manufacturing service collaboration optimization is dedicated to establishing high-qua...

Using soft actuators as legs, soft quadruped robots have shown great potential in traversing unstructured and complex terrains and environments. However, unlike rigid robots whose gaits can be generated using foot pattern design and kinematic model of the rigid legs, the gait generation of soft quadruped robots remains challenging due to the high D...

We consider a broadband over-the-air computation empowered model aggregation scheme for federated learning (FL) in Industrial Internet of Things systems. Due to fading and communication noise, the received global gradient parameters inevitably become inaccurate, leading to a notable decrease of the learning performance. Instead of discarding any ed...

Human-robot collaborative disassembly (HRCD) has gained much interest in the disassembly tasks of end-of-life products, integrating both robot’s high efficiency in repetitive works and human’s flexibility with higher cognition. Explicit human-object perceptions are significant but remain little reported in the literature for adaptive robot decision...

Smart manufacturing is arriving [1]. It promises a future of highly responsive manufacturing operations with advanced sensing, reasoning, and decision-making capabilities towards mass personalization [2]. Statistical AI, e.g., machine learning technologies, has shown great potential in making manufacturing smart [3]. However, Statistical AI’s appro...

Personalized products have gradually become the main business model and core competencies of many enterprises. Large differences in components and short delivery cycles of such products, however, require industrial robots in cloud manufacturing (CMfg) to be smarter, more responsive and more flexible. This means that the deep learning models (DLMs)...

The state prediction of key components in manufacturing processes plays an important role in intelligent manufacturing, as it could improve the production quality, efficiency and reduce costs. Data-driven methods could learn well-performed prediction models from large volume of data. However, in complex manufacturing systems, the lack of prior know...

Robotic equipment has been playing a central role since the proposal of smart manufacturing. Since the beginning of the first integration of industrial robots into production lines, industrial robots have enhanced productivity and relieved humans from heavy workloads significantly. Towards the next generation of manufacturing, this review first int...

Tool states affect the surface quality and equipment stop time. It is essential to seek a method with high accuracy and efficiency to model and predict tool states. Cutting process signal is usually used to in industry monitoring, which contains lots of fault information. In this paper, the spectrum analysis of milling force is carried out to obtai...

Industry 5.0 blows the whistle on global industrial transformation. It aims to place humans' well-being at the center of manufacturing systems, thereby achieving social goals beyond employment and growth to provide prosperity robustly for the sustainable development of all humanity. However, the current exploration of Industry 5.0 is still in its i...

This special session aims to present the state-of-the-art approaches, tools, systems, and practical cases of HDT toward HCPS, including the following topics, but are not limited to: • Theory, investigation, survey, and review of HDT for HCPS • HDT in Human-Robot Collaboration (HRC) • Big data analytics for HDT • Data management and data policies in...

This special session aims to present state-of-the-art approaches, tools, systems, and cases to explore more applications of AR-assisted DT for futuristic smart manufacturing. To contribute to those areas, this special session includes the following topics, but are not limited to: • AR-assisted cognitive DT • AR-assisted DT for on-demand fabrication...

Smart production logistics has introduced in manufacturing industries with emerging technologies such as digital twin, industrial internet of things, and cyber-physical system. This technological innovation initiates the new way of working, working environment, and decision-making process. Especially the decision-making process has changed from exp...

Combining 3D printing and smart materials, 4D printing technologies enable the printed actuators to further change their shapes or other properties after prototyping. However, the shape morphing of 4D printed actuators suffers from poor controllability and low precision. One of the main challenges is that the 4D printed actuators are hard to be mod...

In line with the human-centric concerns of Industry 5.0, modern factories are striving for an ever-higher degree of flexible and resilient production in mass personalization with increasing complicatedness and complexity. To achieve it, human-robot collaboration (HRC) becomes a prevailing strategy, which combines high accuracy, strength, and repeat...

Service composition as an important technique for combining multiple services to construct a value-added service is a major research issue in cloud manufacturing. Highly dynamic environments present great challenges to cloud manufacturing service composition (CMfg-SC). Most of previous studies employ heuristic algorithms to solve service compositio...

Metaverse has attracted widespread attention all over the world since its birth, showing great potential to achieve a better vision of promoting human society. It is regarded as "the ultimate form of the Internet". However, the development of the metaverse is still in its infancy, and the research on the relevant system architecture and theoretical...

The manufacturing of complex parts, such as aircraft structural parts and aero-engine casing parts, has always been one of the focuses in the manufacturing field. The machining process involves a variety of hard problems (e.g. tool wear prediction, smart process planning), which require assumptions, simplifications and approximations during the mec...

Predictive Maintenance (PdM) has continually attracted interest from the manufacturing community due to its significant potential in reducing unexpected machine downtime and related cost. Much attention to existing PdM research has been paid to perceiving the fault, while the identification and estimation processes are affected by many factors. Man...

Recently, the futuristic industry and society have caught increasing attention, that is, on Industry 5.0 and Society 5.0. Industry 5.0 is announced by European Commission toward a sustainable, human-centric, and resilient European industry. Society 5.0 is proposed by Japan Cabinet to balance economic advancement with the reso�lution of social probl...

Human-robot collaboration (HRC) allows seamless communication and collaboration between humans and robots to fulfil flexible manufacturing tasks in a shared workspace. Nevertheless, existing HRC systems lack an efficient integration of robotic and human cognitions. Empowered by advanced cognitive computing, this paper proposes a visual reasoning-ba...

A reliable human-robot workcell relies on accurate and nearly real-time updated models, especially in a constrained yet dynamic environment. This paper investigates digital twin-driven human-robot collaborative assembly enabled by function blocks. Leveraging sensor data, digital models are developed to precisely mimic physical human-robot collabora...

Human-robot collaboration (HRC) plays a crucial role in agile, flexible, and human-centric manufacturing towards the mass personalization transition. Nevertheless, in today’s HRC tasks, either humans or robots need to follow the partners’ commands and instructions along collaborative activities progressing, instead of proactive, mutual engagement....

Flexible and safe human-robot collaboration depends on accurately capturing the three-dimensional motion of humans and robots in the field of smart manufacturing. In this paper, a novel approach to developing a human-robot collaborative assembly system is proposed and applied to the field of digital twins. Within the context, a deep learning-based...

International Journal of Computer Integrated Manufacturing Rapidly evolving global initiatives have highlighted a manufacturing future that is connected, smart, resilient, human-centric, and sustainable for rapidly producing high-value-added products and services defined by end-users. Manufacturing systems, therefore, have to change: (1) new manuf...

Digital servitization (DS) enabled by the Industrial Internet of Things (IIoT) is essential for securing long-term competitiveness in manufacturing. The literature identifies the need for developing data models for multichannel communications across IIoT devices that fulfil the DS vision. This is crucial for avoiding isolated systems based on propr...

The existing (augmented reality) AR-aided assembly is highly associated with AR devices, which mainly provides guidance for one operator, and it is hard to share augmented assembly instructions for large-scale products which require multiple operators working together. To address this problem, the paper proposes a distributed cognition based locali...

Laser Directed Energy Deposition (LDED) is a promising metal Additive Manufacturing (AM) technology capable of fabricating thin-walled parts to support some high-value applications. Accurate and efficient prediction on the molten pool width is critical to support in-situ control of LDED for part quality assurance. Nevertheless, owing to the intrica...

In the big data era, traditional data mining technology cannot meet the requirements of massive data processing with the background of intelligent manufacturing. Aiming at insufficient computing power and low efficiency in mining process, this paper proposes a improved K-means clustering algorithm based on the concept of distributed clustering in c...

Advances in human-centric smart manufacturing (HSM) reflect a trend towards the integration of human-in-the-loop with technologies, to address challenges of human-machine relationships. In this context, the human-cyber-physical systems (HCPS), as an emerging human-centric system paradigm, can bring insights to the development and implementation of...

The COVID-19 pandemic makes protective visors important for protecting people in close contacts. However, the production of visors cannot be increased greatly in a short time, especially at the beginning of the pandemic. The 3D printing community contributed largely in fabricating the visor frames using the rapid and adaptive manufacturing ability....

With the increasingly developed industry and more comprehensive product offerings, customized and personalized products (CPPs) gradually become a main business model of many enterprises. However, the characteristics of CPPs, such as large differences in product modules and short product delivery cycles, put forward very high demands for the intelli...

In human-robot collaborative assembly, leveraging multimodal commands for intuitive robot control remains a challenge from command translation to efficient collaborative operations. This paper investigates multimodal data driven robot control for human-robot collaborative assembly. Leveraging function blocks, a programming-free human-robot interfac...

Tool condition monitoring (TCM) in machining operations is crucial to maximise the useful tool life while reducing the risks associated with tool breakage. Unlike progressive tool wear, tool breakage occurs randomly, with more severe implications for workpiece quality, machining system stiffness, and even operator safety. Existing literature review...

Sensors play a vital role in the industry transformation. Commercial sensors such as force sensors have limited options in shapes, stiffness, measuring ranges, etc. Customized force sensors optimized for the production environment can greatly increase the integration workflow and avoid the trade-off in design freedom of using commercial sensors. 3D...

With the development of machine tool machining performance and tool cutting performance, thin-walled parts can be machined with high efficiency and precision, leading to their wide use in the aerospace field. The complex structure and low rigidity of thin-walled parts make them easy to deform in the milling process. Therefore, accurate prediction a...

https://www.journals.elsevier.com/journal-of-manufacturing-systems/call-for-papers/human-centered-smart-manufacturing-trends-issues-and-challenges. Keywords included but not limited: 1) Design and implementation of human-centric smart manufacturing systems, 2) Novel human-machine interface and interaction in human-centric manufacturing systems, 3)...

Generally, off-line methods are used for surface roughness prediction of titanium alloy milling. However, studies show that these methods have poor prediction accuracy. In order to resolve this shortcoming, a prediction method based on Cloudera’s Distribution including Apache Hadoop (CDH) platform is proposed in the present study. In this regard, d...

The dynamical evolution of electrical discharge machining (EDM) has drawn immense research interest. Previous research on mechanism analysis has discussed the deterministic nonlinearity of gap states at pulse-on discharging duration, while describing the pulse-off deionization process separately as a stochastic evolutionary process. In this case, t...

Machining deformation control for large structural parts is an intractable problem, which is highly important for the dimensional accuracy and fatigue life of parts, and deformation prediction is the basis for deformation control. Existing prediction methods rely on the measurement of residual stress, which is limited by the measurement accuracy of...

While robots have very well proven their flexibility and efficiency in mass production and are recognized as the production resource of the future, their adoption in lower volume, diverse environment is heavily constrained. The main reason for this is the high integration and deployment complexity that overshadows the performance benefits of this t...

Assembly robots have been widely used in the manufacturing industry. However, performing precise assembly tasks still poses a great challenge for robots due to numerous sources of the uncertainties such as fixtures, end effectors, or actuators, and the most critical technical bottleneck is to find the best search strategy to improve positioning acc...

This paper proposes a cognitive digital twin framework for smart manufacturing, and especially for human-robot-collaboration cases. The proposed framework comprises three layers (field, edge, and cloud layers) based on the 5G communication network. In the field layer, the physical twin's data from the physical machine and human operators are transm...

In modern manufacturing, vision-based defect recognition is an essential technology to guarantee product quality, and it plays an important role in industrial intelligence. With the developments of industrial big data, defect images can be captured by ubiquitous sensors. And, how to realize accuracy recognition has become a research hotspot. In the...

Human-robot collaborative assembly (HRCA) is vital for achieving high-level flexible automation for mass personalization in today's smart factories. However, existing works in both industry and academia mainly focus on adaptive robot planning, while seldom consider human operator's intentions in advance. Hence, it hinders the HRCA transition toward...

Due to the poor machinability of Ti6Al4V material, the cutting tool can easily suffer flank wear during the process of high-speed side milling, which reduces the tool life as well as the surface integrity of workpiece. Further, an effective method for predicting the flank wear of end mill during side milling of Ti6Al4V is lacking in the existing li...

This paper focuses on the multi-agent parallel machines scheduling problem with consumer agents and resource agents. Within the context, all the agents are self-interested aiming at maximising their profits, and have private information, precluding the use of the centralised scheduling approaches that require complete information of all the consume...

Synthetic, degradable macromonomers have been developed to serve as ink for 3D printing technologies based on direct-ink-writing. The macromonomers are purposely designed to be crosslinkable under the radical mechanism, to impart hydrophilicity to the final material, and to have rheological properties matching the printer’s requirements. The suitab...

Today, due to shop-floor uncertainties and widespread cross-enterprise collaborations, manufacturing systems of enterprises are increasingly demanded to be agile, adaptive, flexible and interoperable. Process planning systems are mission-critical constituent components of manufacturing systems in machining job shops of small and medium-sized enterp...

The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted formal discussions that manufacturing should be human-centric-placing the wellbeing of industry workers at the center of manufacturing processes, instead of system-centric-only driven by efficiency and quality improvement and cost reduction. However, there...