Shufei Li

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Verified

Shufei verified their affiliation via an institutional email.

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• Ph.D
• Postdoctoral Fellow at City University of Hong Kong

Human-robot collaborative manufacturing is crucial in modern production landscapes for flexible automation. However, existing human-robot systems face several challenges, including a lack of human-centric autonomy for adjustments, limited generalization for production variants, and ineffective synchronous teamwork with feedback. Emerging Large Lang...

Intelligent robotic assembly is becoming a pivotal component of the manufacturing sector, driven by growing demands for flexibility, sustainability, and resilience. Robots in manufacturing environments need perception, decision-making, and manipulation skills to support the flexible production of diverse products. However, traditional robotic assem...

Traditional robotic gluing techniques suffer from uneven adhesive distribution and low coverage rates, particularly on complex surfaces and under varying process parameters, which impede their application in smart manufacturing. To overcome these limitations, this work presents a physical-simulation synergy approach for predicting glue line dimensi...

Robot learning has attracted an ever-increasing attention by automating complex tasks, reducing errors, and increasing production speed and flexibility, which leads to significant advancements in manufacturing intelligence. However, its low training efficiency, limited real-time feedback, and challenges in adapting to untrained scenarios hinder its...

Enabling mobile robots to perform long-term tasks in dynamic real-world environments is a formidable challenge, especially when the environment changes frequently due to human-robot interactions or the robot's own actions. Traditional methods typically assume static scenes, which limits their applicability in the continuously changing real world. T...

Enabling mobile robots to perform long-term tasks in dynamic real-world environments is a formidable challenge, especially when the environment changes frequently due to human-robot interactions or the robot's own actions. Traditional methods typically assume static scenes, which limits their applicability in the continuously changing real world. T...

Human-Robot Collaboration (HRC) is key to achieving the flexible automation required by the mass personalization trend, especially towards human-centric intelligent manufacturing. Nevertheless, existing HRC systems suffer from poor task understanding and poor ergonomic satisfaction, which impede empathetic teamwork skills in task execution. To over...

Human-centricity, sustainability, and resilience are becoming core values in modern manufacturing, with human–robot collaboration (HRC) in high demand for flexible automation. However, human–robotic swarms are typically designed to target one specific procedure and cannot fully share their autonomy. The Metaverse, characterized by socialized avatar...

Proactive Human–Robot Collaboration Toward Human-Centric Smart Manufacturing is driven by an appreciation of manufacturing scenarios where human and robotic agents can understand each other's actions and conduct mutual-cognitive, predictable, and self-organizing teamwork. Modern factories’ smart manufacturing transformation and the evolution of rel...

Human-Robot Interaction (HRI) has escalated in notability in recent years, and multimodal communication and control strategies are necessitated to guarantee a secure, efficient, and intelligent HRI experience. In spite of the considerable focus on multimodal HRI, comprehensive disquisitions delineating various modalities and intricately analyzing t...

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...

Human-Robot Collaboration (HRC) is showing the potential of widespread application in today’s humancentric smart manufacturing, as prescribed by Industry 5.0. To enable safe and efficient collaboration, numerous visual perception methods have been explored, which allows the robot to perceive surroundings and plan collision-free, reactive manipulati...

Human-robot collaboration (HRC) has played a pivotal role in today’s human-centric smart manufacturing scenarios. Nevertheless, limited concerns have been given to HRC uncertainties. By integrating both human and artificial intelligence, this paper proposes a collaborative intelligence (CI)-based approach for handling three major types of HRC uncer...

Robots are expanding from industrial applications to daily life, in areas such as medical robotics, rehabilitative robotics, social robotics, and mobile/aerial robotics systems. In recent years, augmented reality (AR) has been integrated into many robotic applications, including medical, industrial, human–robot interactions, and collaboration scena...

Multiple Human-Robot Collaboration (HRC) requires self-organising task allocation to adapt to varying operation goals and workspace changes. However, nowadays an HRC system relies on predefined task arrangements for human and robot agents, which fails to accomplish complicated manufacturing tasks consisting of various operation sequences and differ...

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 line with the human centricity characteristics of the emerging Industry 5.0 paradigm, manual assembly has long been an indispensable element of the small-batch and customized products. Nevertheless, the flexibility of manual operations is prone to assembly errors caused by human uncertainties. Since the newly assembled part directly determines t...

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...

PolyU students’ robot project shines in major technology competitions: https://www.polyu.edu.hk/publications/excelximpact/issue/202212/polyu-community/polyu-students-robot-project-shines-in-major-technology-competitions THE Campus: https://www.timeshighereducation.com/campus/tactics-leading-and-engaging-students-research-competitions

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...

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....

Cable-driven parallel robots (CDPRs) can provide large translational workspace with high payload, but their rotational capability is generally limited due to the inherent design. Additionally, among the existing topology structures of CDPRs, few lower mobility CDPRs with subspatial motions are reported till now. Aiming to narrow the abovementioned...

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...

The teleoperation and coordination of multiple industrial robots play an important role in today's industrial internet-based collaborative manufacturing systems. The user-friendly teleoperation approach allows operators from different manufacturing domains to reduce redundant learning costs and intuitively control the robot in advance. Nevertheless...

Recently human-robot collaboration (HRC) has emerged as a promising paradigm for mass personalization in manufacturing owing to the potential to fully exploit the strength of human flexibility and robot precision. To achieve better collaboration, robots should be capable of holistically perceiving and parsing the information of a working scene in r...

Human-robot collaboration (HRC) is critical to today's tendency towards high-flexible assembly in manufacturing. Human action recognition, as one of the core prerequisites for HRC, enables industrial robots to understand human intentions and to execute planning adaptively. However, existing deep learning-based action recognition methods rely heavil...

The estimation of 6D pose of industrial parts is a fundamental problem in smart manufacturing. Traditional approaches mainly focus on matching corresponding key point pairs between observed 2D images and 3D object models via hand-crafted feature descriptors. However, key points are hard to discover from images when the parts are piled up in disorde...

Human-robot collaboration (HRC) has attracted strong interests from researchers and engineers for improved operational flexibility and efficiency towards mass personalization. Nevertheless, existing HRC development mainly undertakes either human-centred or robot-centred manner reactively, where operations are conducted by following the pre-defined...

The mismatched-pins inspection of complex aviation connector is a critical process to ensure the correct wiring harness assembly, of which the existing manual operation is error-prone and time-consuming. Aiming to fill this gap, this work proposes an augmented reality (AR)-assisted deep learning-based approach to tackle three major challenges in av...

In order to replace the manual inspection of connecting states between wiring harness and connectors in the assembly process of aerospace products, a smart inspection method assisted by AR glasses for assembly states of connectors in wiring harness is proposed in this paper. The smart-inspection automatically conducts three major processes of pin-h...

Background Assembly guided by paper documents is the most widespread type used in the process of aircraft cable assembly. This process is very complicated and requires assembly workers with high-level skills. The technologies of wearable Augmented Reality (AR) and portable visual inspection can be exploited to improve the efficiency and the quality...

Nowadays, industrial companies embrace the cutting-edge artificial intelligence (AI) techniques to achieve smart manufacturing over the entire organization. However, effective data collection and annotation still remain as a big challenge in many manufacturing scenarios. Transfer learning, serving as a breakthrough of learning sharing knowledge and...

Reading aviation wire text is an important step for aircraft wire assembly and also a challenging problem. Aviation wire text reading means to detect and recognize the serial number printed on the surface of aviation wires or aircraft cables. The main challenges of this task lie on small sizes, low contrast and background noise in images. In this p...