Latest Articles for Manufacturing

A new method improves the design of parts for interactable items.

Twinning changes material properties under stress, impacting various applications.

New insights into scheduling job allocation and resource management.

This method enhances robot interaction with complex surfaces using vision and touch.

Collaborative robots enhance productivity in manufacturing through efficient machine tending.

A self-supervised method improves pose estimation accuracy for articulated objects using minimal data.

Robots can now move unstable objects more quickly with innovative tray rotation.

Combining high-throughput experiments and machine learning to improve additive manufacturing processes.

Learn how configuration monitoring reveals system settings through behavior analysis.

A new network improves the accuracy of detecting surface defects in manufacturing.

New methods improve how robots learn and adapt to tasks.

FADE detects flaws in images with limited normal samples using vision-language models.

Learn how Digital Twins improve 3D printing processes and efficiency.

This study enhances job scheduling methods considering setup times to improve efficiency.

An overview of flatness-based control and its impact on complex systems.

Introducing heuristic algorithms to improve job scheduling efficiency in flowshop problems.

New method enhances measurement of optical fields in three-dimensional space.

This article discusses outlier detection in time series data using machine learning.

Integrating design, manufacturing, and supply chain for efficient part production.

A new framework enhances chip resilience against security threats through diversity.

Introducing an efficient method for studying electron behavior in low-temperature plasma.

Discover how bistable origami structures are transforming engineering design and applications.

Combining active learning and Bayesian modeling enhances predictions in data-scarce engineering fields.

Explore the complexities of scheduling tasks across multiple machines for optimal efficiency.

An overview of predictive control methods and their benefits in modern systems.

Discover how particle size affects material behavior under pressure.

Exploring the differing views of operators and decision-makers on industrial robot integration.

Examining how different observers perceive and infer knowledge in complex systems.

Discover how robust MPC enhances management of complex systems under uncertainty.

Texture-AD dataset bridges data gaps in industrial anomaly detection.

This article introduces a method to analyze tiny structures in materials.

A study on unsupervised methods for detecting anomalies in vibration data.

A method helps robots learn tasks from human examples through sub-goals.

Soft robots are changing how we interact with objects safely and effectively.

A new approach enhances safety and efficiency in human-robot teamwork.

A new framework improves design flexibility and efficiency in topology optimization.

New method enhances product defect detection in manufacturing using deep learning.

A new framework enhances PCB quality control through automated defect detection methods.

New machine learning techniques improve predictions in polycrystal plasticity.

Explore the importance and challenges of accurate robot kinematic calibration.