Latest Articles for Manufacturing

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.

A new approach improves detection of irregularities in industrial data using edge computing.

HoloTile RGB offers faster and clearer holographic imaging technology.

Examining the impact of 5G on indoor positioning accuracy in industrial settings.

A new method enhances robots' ability in complex assembly tasks.

A new method enhances metal part monitoring during LPBF using deep learning for image improvement.

This article discusses cost-effective systems for detecting product defects.

New system enhances robot assembly through generative design techniques.

A new method enhances obstacle avoidance for flexible robots in complex environments.

Investigating how materials deform gradually under stress over time.

This study examines how glass fails under repeated stress and its predictive signs.

An overview of how dislocations affect material behavior under temperature and stress.

A look into managing processes influenced by conditions and their control methods.

A look into how materials respond to stress and the role of randomness.

An overview of how AI tools improve knowledge sharing in factories.

VMAD enhances anomaly detection using multimodal data for improved industrial quality control.

Machine learning methods enhance quality control for glass bottle printing defects.

New methods improve modeling of frictional contact in engineering and physics.

A new method enhances efficiency in multiscale designs using set-based queries.

Soft robots are changing how we interact with technology in various fields.

A new approach integrating expert knowledge in regression models.

Learn how the applicability domain affects predictive model accuracy in various fields.

Leveraging language models to enhance predictive maintenance in manufacturing.

Discover how MADQN improves efficiency in scheduling autonomous vehicles in factories.