Latest Articles for Manufacturing

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.

This article highlights a study on ML predicting surface roughness in milling processes.

This study explores using Transfer Learning for effective quality control in CFRP tape laying.

A new method enhances anomaly detection by using synthetic examples.

New method enhances robot performance in high-precision assembly tasks.

This research investigates using language models for simpler robot programming through natural language.

Learn how new methods improve column arrangement in binary matrices.

Fast and accurate shape estimation for soft continuum robots using neural networks.

Study reveals new methods to enhance metal 3D printing outcomes.

CUSUM charts are crucial for monitoring process quality in various industries.

New method combines AI and diffusion models for innovative material designs.

RainbowSight sensors enhance robotic touch through innovative lighting and design.

A new method improves robot movements and product quality in manufacturing.

A look at automating the alignment of optical systems using three methods.

Learn how deep reinforcement learning enhances scheduling in the furniture industry.