A5081071311- Manufacturing Process and Optimization
- Color perception and design
- Digital Transformation in Industry
- Product Development and Customization
- Autonomous Vehicle Technology and Safety
- Robot Manipulation and Learning
- Design Education and Practice
- Traffic control and management
- Sustainable Supply Chain Management
- Industrial Vision Systems and Defect Detection
- Human-Automation Interaction and Safety
- Ergonomics and Human Factors
- Flexible and Reconfigurable Manufacturing Systems
- Multi-Criteria Decision Making
- Quality Function Deployment in Product Design
- EEG and Brain-Computer Interfaces
- Advanced Decision-Making Techniques
- Industrial Technology and Control Systems
- Robotics and Automated Systems
- Reinforcement Learning in Robotics
- Traffic Prediction and Management Techniques
- Assembly Line Balancing Optimization
- Gaze Tracking and Assistive Technology
- Hydraulic and Pneumatic Systems
- Machine Learning and ELM
Nanyang Technological University
2022-2024
Zhejiang University
2018-2024
Beihang University
2023
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving transportation systems to digitize synergize connected automated vehicles. However, existing studies focus on the design of vehicle, whereas digitization human driver, who plays important role in driving, largely ignored. Furthermore, previous driver-related tasks are limited specific scenarios have applicability. Thus, a novel concept driver digital twin (DDT) proposed this study bridge gap between...
Successful product development relies on the enterprise system (ES) to manage lifecycle data and support decision-making in various levels. Since amount of generated industrial Internet Things is increasing dramatically, new paradigms ES are required realize distributed intelligence. Recent progress edge computing has enabled advances decentralized decision systems. Although design a key stage development, none recent studies edge-based have shed light this stage. Therefore, an framework for...
Abstract With the increasing attention to state and role of people in intelligent manufacturing, there is a strong demand for human-cyber-physical systems (HCPS) that focus on human-robot interaction. The existing manufacturing system cannot satisfy efficient collaborative work. However, unlike machines equipped with sensors, human characteristic information difficult be perceived digitized instantly. In view high complexity uncertainty body, this paper proposes framework building digital...
Industry 5.0 is conceived to achieve the expected high level of smart manufacturing and more proactive adaptive human-robot collaboration (HRC). In particular, handover tasks (HRHTs) are a notably crucial aspect HRC, resolving how motivate robots comprehend human intentions constitutes an exigent issue that demands resolution. To address these problems, A framework integrates hierarchical digital twin (HHDT) deep domain adaptation proposed, where HHDT model built digitise physical...
Recent years have witnessed numerous technical breakthroughs in connected and autonomous vehicles (CAVs). On the one hand, these significantly advanced development of intelligent transportation systems (ITSs); on other new traffic participants introduce more complex uncertain elements to ITSs from social space. Digital twins (DTs) provide real-time, data-driven, precise modeling for constructing digital mapping physical-world ITSs. Meanwhile, metaverse integrates emerging technologies such...
Human–robot hybrid disassembly cells provide a shared workspace that synergizes the strength of both humans and robots. These are characterized by adaptability reconfigurability to accommodate frequent changes stemming from diverse products, championing mass personalization paradigm in Industry 5.0. Disassembly sequence planning assumes paramount importance within but proves be formidable challenge. Conventional methods prioritize fulfillment product-related constraints while neglecting...
Abstract Precise customer requirements acquisition is the primary stage of product conceptual design, which plays a decisive role in quality and innovation. However, existing mining approaches pay attention to offline or online comment feedback there has been little quantitative analysis analogical reasoning environment. Latent innovative can be expressed by inspiration distinctly. In response, this paper proposes semantic analysis-driven method for design based on deep transfer learning...
Abstract Digital twin, a new emerging and fast-growing technology which is one of the most promising technologies for smart design manufacturing, has attracted much attention worldwide recently. With application digital product performance evaluation entered data-driven era. However, traditional methods mainly place emphasis on structure analysis in stage manufacturing service twin. They cannot synthesize multi-source information take high-level emotional response into consideration stage....
Conceptual design plays an important role in a product development process. Significant of technologies the cyber-physical system (CPS) provides innovative approaches for conceptual design. This paper proposes architecture CPS that realizes acquisition real-time physiological data from physical world and feedback psychological states cyber world. As understanding meeting needs customers have been recognized as significant aspects design, intelligent psycho-physiological approach incorporates...
Conceptual design is a pivotal stage of new product development. The function-behaviour-structure framework adopted in this to help designers search space and generate conceptual solutions iteratively. Computer-aided methods developed within will yield significant insight into facilitating the cognitive activities designers. In order solve mapping process from behaviours structures which typical constraint satisfaction problem, cerebellar operant conditioning-inspired approach proposed...
Accurate prediction of the motion state connected vehicles, especially preceding vehicle (PV), would effectively improve decision-making and path planning intelligent vehicles. The evolution vehicle-to-vehicle (V2V) communication technology makes it possible to exchange data between However, since V2V has a transmission interval, which will result in host not receiving information from PV within time interval. Furthermore, is time-triggered system that may occupy more bandwidth than...