Recent progress and challenges of key technologies in robotic assembly
January 2026
How to substitute the human operator with a robot in various assembly tasks has to be taken into full consideration in intelligent manufacturing. Autonomous robotic assembly not only brings with high...
A Comprehensive Review on Passive RFID Sensors for Structural Health Monitoring: Developments, Challenges, and Opportunities
Available online 14 October 2025
In this paper, a detailed review of passive RFID sensors for structural health monitoring applications, i.e., crack quantification, strain deformation, and corrosion detection for metallic materials,...
An integration of BCI and vision system for Robotics applications: a review
Available online 10 December 2025
With the rapid advancement of human–robot interaction technologies, the integration of electroencephalogram (EEG)–based brain–computer interface (BCI) systems with computer vision (CV) has become an...
Review on Reliability Technology for High-end CNC Machine Tools: Overview and Prospect
Available online 29 November 2025
After several years of research on the reliability of CNC machine tools, many theories and technologies have been developed, which have improved the reliability level of economical CNC machine tools...
Advanced forming technologies for integrated metal components with extreme size and structure: State-of-the-art and perspectives
January 2026
In aerospace, nuclear power, and new energy vehicles industries, utilizing integrated metal components with extreme sizes and/or structures is crucial for achieving significant weight-saving, performance-improvement,...
Autonomous driving scenario generation based on neural radiance fields or 3D Gaussian splatting: State-of-the-art investigations, reviews, and perspectives
January 2026
Reconstruction of autonomous driving scenarios plays a pivotal role in vehicle testing. In recent years, approaches based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3D GS) have opened...
A review of cyber-physical security for intelligent connected vehicles
December 2026
Intelligent connected vehicles (ICVs) integrate advanced communication, sensing, and computing technologies to significantly enhance traffic efficiency, safety, and driving experience. However, its...
Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks
Available online 31 October 2025
The adoption of deep learning in intelligent operation and maintenance of wind turbines has improved fault detection and classification accuracy. However, most existing studies focus primarily on the...
Geomagnetic-field-based positioning and navigation technologies: A review of applications in intelligent and mechanical equipment
Available online 4 February 2026
Geomagnetic field–based positioning and navigation technologies have gradually evolved into an important alternative to satellite navigation, particularly for mechanical equipment and engineering systems...
Advancements and theoretical foundations of cable-driven parallel robots: A comprehensive overview
December 2026
Parallel robotic mechanisms using cables instead of rigid limbs are termed cable-driven parallel robots (CDPRs). Electric motors and pulley mechanisms actuate cables to provide motion for an end-effector...
Novel bearing fault diagnosis model for wind turbine: PSR-CNN-DLSTM combined with transfer learning
January 2026
Wind turbine bearings operate in harsh environments, which can complicate fault diagnosis due to the strong nonlinearity of vibration signals and imbalance data. To tackle these challenges, we propose...
LMPHM: Fault Inference Diagnosis Based on Causal Network and Large Language Model-Enhanced Knowledge Graph Network
Available online 21 November 2025
Current research in mechanical fault inference diagnosis primarily relies on knowledge graph networks (KGN) for reasoning. Compared to traditional diagnostic methods, KGN offers advantages in knowledge...
Lithium-ion battery simulation optimization and lifetime prediction
January 2026
The rapid development of battery technologies requires substantial time and effort to conduct experiments and obtain cell characteristics. To address this challenge, this paper develops an electrochemical-thermal...
Effect of alloying elements on the characteristics of metallic biodegradable materials: A review
January 2026
Biomedical applications necessitate natural or synthetic biomaterials that can maintain, improve, or even replace damaged tissue or a biological function, facilitating healing for people who have suffered...
XJTU-DV: Open-source dynamic vision dataset for non-contact vibration measurement and fault diagnosis of mechanical systems
January 2026
Vibration measurement is of great importance for fault diagnosis and prognosis of mechanical systems in the literature. Non-contact vibration measurement methods have been attracting growing attention...
Digital twin‐based error motion monitoring and prediction method for aerostatic spindle
January 2026
The aerostatic spindle is a key component of ultra-precision machine tools, and its error motion is crucial to machining accuracy and reliability. Spindle error motion is unavoidable, and its online...
Development of a real-time posture feedback system with integrated human motion prediction for proactive intervention in work-related musculoskeletal disorders
January 2026
With the advancement of human-centric smart manufacturing toward Industry 5.0, the assessment and mitigation of work-related musculoskeletal disorder (WMSD) risks have become a critical issue in industrial...
Road Surface Status Recognition and Estimation: State-of-the-art Review and Research Perspectives
Available online 24 November 2025
Accurate recognition and estimation of road state in real-time is an important prerequisite for vehicle driving safety, transient handling stability, ride comfort, and other performance. In order to...
Optimization, Design and Experiment of Knee Joint Mechanism for Hydraulic Bipedal Robot
Available online 4 October 2025
Hydraulically actuated bipedal robots offer good dynamic locomotion capabilities but face critical challenges in knee joint design, requiring a careful balance between torque output, load-bearing capacity,...
Embodied Digital Twin Driven Human-Centric Collaborative Robot Behavior: Cognitive Inference of Action Strategies
Available online 22 November 2025
Collaborative robot interacting autonomously with human operators through flexible behavioral strategies poses a significant challenge. The lack of sufficient attention to the status of human operators...
Opening torque of a butterfly vent valve considering pollution particle intrusion
January 2026
A surge is an unstable flow characterized by airflow interruption in a compression system that seriously affects the performance of the entire compression system, including the compressor. A butterfly...
Integrated topology optimization method for crashworthiness of metal-FRP hybrid thin-walled tubes: A review and analysis
January 2026
Based on the demands for crashworthiness and lightweight in the passive safety of transportation vehicles, metal-fiber reinforced polymer (FRP) hybrid thin-walled tubes (MFHTWTs) integrate the toughness,...
Novel machining mode and robotic machining equipment for large-scale complex structures
January 2026
Large-scale complex structures are the main components of the major equipment, such as spacecraft, aircraft, steamship. The machining of this kind of structures is a worldwide manufacturing difficulty....
A predictive modeling for the variation of orifice throttling coefficient of hydraulic spool valve caused by erosion behavior
January 2026
Hydraulic spool valves are crucial components of hydraulic systems. Solid pollution particles mixed in hydraulic oil could result erosion wear of the valve orifice, then lead to a decrease in the performance...
Optimization method of milling feed rate for complex tool path trajectories based on a constant cutting force prediction model
January 2026
Using a constant feed rate in the complex tool path machining can easily cause sudden changes in cutting force load and fluctuations, reducing the machining efficiency and machining surface quality....