Pai Zheng
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View article: A mixed reality-assisted scene-centric robot programming approach for human–robot collaborative manufacturing
A mixed reality-assisted scene-centric robot programming approach for human–robot collaborative manufacturing Open
View article: KLIPA: A Knowledge Graph and LLM-Driven QA Framework for IP Analysis
KLIPA: A Knowledge Graph and LLM-Driven QA Framework for IP Analysis Open
Effectively managing intellectual property is a significant challenge. Traditional methods for patent analysis depend on labor-intensive manual searches and rigid keyword matching. These approaches are often inefficient and struggle to rev…
View article: An AI-Generated Content-Enabled Personalized Design Approach for Proactive User Interaction in an Immersive Environment
An AI-Generated Content-Enabled Personalized Design Approach for Proactive User Interaction in an Immersive Environment Open
Rapid advancements in artificial intelligence and immersive technologies are revolutionizing various sectors, notably product design. However, the traditional personalized design process, which depends on predefined elements with limited u…
View article: A 3DGS and LLM-based physical-to-virtual approach for human-robot interactive manufacturing
A 3DGS and LLM-based physical-to-virtual approach for human-robot interactive manufacturing Open
View article: Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction Open
Accurate surface roughness prediction in ultra-precision machining (UPM) is critical for real-time quality control, but small datasets hinder model performance. We propose HAS-CGAN, a Hybrid Adversarial Spectral Loss CGAN, for effective UP…
View article: Vision-Language Model-Based Human-Guided Mobile Robot Navigation in an Unstructured Environment for Human-Centric Smart Manufacturing
Vision-Language Model-Based Human-Guided Mobile Robot Navigation in an Unstructured Environment for Human-Centric Smart Manufacturing Open
View article: Vision-language model-based human-robot collaboration for smart manufacturing: A state-of-the-art survey
Vision-language model-based human-robot collaboration for smart manufacturing: A state-of-the-art survey Open
human-robot collaboration (HRC) is set to transform the manufacturing paradigm by leveraging the strengths of human flexibility and robot precision. The recent breakthrough of Large Language Models (LLMs) and Vision-Language Models (VLMs) …
View article: An Adaptive Whole‐Body Control Approach for Dynamic Obstacle Avoidance of Mobile Manipulators for Human‐Centric Smart Manufacturing
An Adaptive Whole‐Body Control Approach for Dynamic Obstacle Avoidance of Mobile Manipulators for Human‐Centric Smart Manufacturing Open
In human‐centric smart manufacturing (HCSM), the robot's dynamic obstacle avoidance function is crucial to ensuring human safety. Unlike the static obstacle avoidance of manipulators or mobile robots, the dynamic obstacle avoidance in mobi…
View article: Human-in-the-Loop Robot Learning for Smart Manufacturing: A Human-Centric Perspective
Human-in-the-Loop Robot Learning for Smart Manufacturing: A Human-Centric Perspective Open
View article: An Adaptive Ar Guidance Interface Layout Optimization Approach for Humancentered Assembly Training Systems
An Adaptive Ar Guidance Interface Layout Optimization Approach for Humancentered Assembly Training Systems Open
View article: Physical Synthetic Image-Enhanced Scratch Segmentation for Visual Inspection of Aero-Engine Blades
Physical Synthetic Image-Enhanced Scratch Segmentation for Visual Inspection of Aero-Engine Blades Open
View article: Fathers’ overprotective parenting and young children’s problem behaviors: Mediating by mothers’ overprotective attitudes and parenting stress
Fathers’ overprotective parenting and young children’s problem behaviors: Mediating by mothers’ overprotective attitudes and parenting stress Open
View article: Referee report. For: A knowledge graph based remanufacturing equipment resource modeling method. [version 2; peer review: 1 approved, 2 approved with reservations]
Referee report. For: A knowledge graph based remanufacturing equipment resource modeling method. [version 2; peer review: 1 approved, 2 approved with reservations] Open
View article: Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion Open
Inductive knowledge graph completion (KGC) aims to infer the missing relation for a set of newly-coming entities that never appeared in the training set. Such a setting is more in line with reality, as real-world KGs are constantly evolvin…
View article: Industrial Metaverse: A proactive human-robot collaboration perspective
Industrial Metaverse: A proactive human-robot collaboration perspective Open
View article: Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion Open
Inductive knowledge graph completion (KGC) aims to infer the missing relation for a set of newly-coming entities that never appeared in the training set. Such a setting is more in line with reality, as real-world KGs are constantly evolvin…
View article: Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery
Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery Open
View article: Revolutionizing Packaging: A Robotic Bagging Pipeline with Constraint-aware Structure-of-Interest Planning
Revolutionizing Packaging: A Robotic Bagging Pipeline with Constraint-aware Structure-of-Interest Planning Open
Bagging operations, common in packaging and assisted living applications, are challenging due to a bag's complex deformable properties. To address this, we develop a robotic system for automated bagging tasks using an adaptive structure-of…
View article: Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering Open
Knowledge-based visual question answering (KVQA) has been extensively studied to answer visual questions with external knowledge, e.g., knowledge graphs (KGs). While several attempts have been proposed to leverage large language models (LL…
View article: Mutual-cognition for proactive human–robot collaboration: A mixed reality-enabled visual reasoning-based method
Mutual-cognition for proactive human–robot collaboration: A mixed reality-enabled visual reasoning-based method Open
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 un…
View article: Bimanual Deformable Bag Manipulation Using a Structure-of-Interest Based Neural Dynamics Model
Bimanual Deformable Bag Manipulation Using a Structure-of-Interest Based Neural Dynamics Model Open
The manipulation of deformable objects by robotic systems presents a significant challenge due to their complex and infinite-dimensional configuration spaces. This paper introduces a novel approach to Deformable Object Manipulation (DOM) b…
View article: Referee report. For: Digital Twins along the product lifecycle: A systematic literature review of applications in manufacturing [version 2; peer review: 1 approved, 3 approved with reservations]
Referee report. For: Digital Twins along the product lifecycle: A systematic literature review of applications in manufacturing [version 2; peer review: 1 approved, 3 approved with reservations] Open
View article: A vision-language-guided and deep reinforcement learning-enabled approach for unstructured human-robot collaborative manufacturing task fulfilment
A vision-language-guided and deep reinforcement learning-enabled approach for unstructured human-robot collaborative manufacturing task fulfilment Open
View article: Referee report. For: A knowledge graph based remanufacturing equipment resource modeling method. [version 1; peer review: 2 approved with reservations]
Referee report. For: A knowledge graph based remanufacturing equipment resource modeling method. [version 1; peer review: 2 approved with reservations] Open
View article: Contents
Contents Open
The Elgar Concise Encyclopedia of Aviation Law is an exemplary reference book providing a comprehensive overview of the origins, current landscape, and defining characteristics of the dynamic field of aviation law.
View article: Multimodal Human–Robot Interaction for Human‐Centric Smart Manufacturing: A Survey
Multimodal Human–Robot Interaction for Human‐Centric Smart Manufacturing: A Survey Open
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 …
View article: Surface Roughness Prediction in Ultra-Precision Milling: An Extreme Learning Machine Method with Data Fusion
Surface Roughness Prediction in Ultra-Precision Milling: An Extreme Learning Machine Method with Data Fusion Open
This paper pioneers the use of the extreme learning machine (ELM) approach for surface roughness prediction in ultra-precision milling, leveraging the excellent fitting ability with small datasets and the fast learning speed of the extreme…
View article: Editorial: Special issue on advanced optimization enabling digital twin technology
Editorial: Special issue on advanced optimization enabling digital twin technology Open
View article: PSO-Based Optimal Coverage Path Planning for Surface Defect Inspection of 3C Components with a Robotic Line Scanner
PSO-Based Optimal Coverage Path Planning for Surface Defect Inspection of 3C Components with a Robotic Line Scanner Open
The automatic inspection of surface defects is an important task for quality control in the computers, communications, and consumer electronics (3C) industry. Conventional devices for defect inspection (viz. line-scan sensors) have a limit…
View article: Editorial notes: Industrial Internet-of-Things (IIoT)-enabled digital servitisation
Editorial notes: Industrial Internet-of-Things (IIoT)-enabled digital servitisation Open