Latest Articles for Manufacturing

A look into control systems, strong chain control sets, and their importance.

A new approach to shape optimization using neural networks enhances performance and efficiency.

Examining how small holes influence the behavior of flexible materials.

A smartphone microscope designed to detect defects in metallic mesh materials.

Learn how population data enhances prediction accuracy in uncertain models.

Exploring the benefits of hybrid scheduling methods in production environments.

This study examines injuries resulting from robot-human interactions in industrial settings.

A new model improves efficiency and accuracy in metal rolling operations.

This research showcases how AI improves job scheduling efficiency.

This method simplifies 3D shape unfolding into flat patterns for easier fabrication.

This article examines quantum computing's role in improving manufacturing shift scheduling.

New techniques improve terahertz imaging applications across security, healthcare, and industry.

This article discusses the role of generative AI in enhancing machine vision applications.

A new method accurately reconstructs strain fields in materials using neutron imaging.

Harnessing data from simulations to enhance production in semiconductor manufacturing.

Discover how soft-rigid hybrid robots combine flexibility and strength for diverse applications.

A new method speeds up weld seam detection with accuracy.

A new method improves sound recognition with less computing power.

New control strategies improve robot learning and safety in manufacturing.

New interactive system enhances material analysis through combined imaging methods.

A system that enables robots to assist workers in assembly tasks effortlessly.

A new method enhances assembly state recognition, reducing errors and improving efficiency.

This article discusses critical geometric challenges in robotics and automation.

This article explores methods to predict how stressed materials respond to forces.

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.