Latest Articles for Manufacturing

AMGPT provides precise support for researchers in metal additive manufacturing.

New method enhances efficiency in 3D printing of lattice structures.

A new dual-speed actuator improves robot versatility and efficiency for various tasks.

Exploring synthetic meshes and their impact across various industries.

Examining the impact of cobots on task efficiency and worker satisfaction.

A new method improves quality in additive manufacturing by optimizing design and build order.

Tilde system revolutionizes robotic dexterity through intuitive control and effective learning.

This article discusses a simplified method for optimal control using state information.

A method for collaborative machine learning while keeping data private.

Using deep learning to enhance acoustic emission monitoring of bolted joints.

Exploring curves that minimize maximum bending between two points in various applications.

A look into how materials react to temperature and stress.

A study on heat transfer in boundary layers of moving fluids.

Discover how robots are transforming assembly processes in factories.

A new framework improves cooperation between robots and humans across various tasks.

Researchers use quantum computing to improve frequency response calculations for coupled oscillators.

A new method streamlines control design for mechanical systems through easier approximations.

Robots learn tasks by observing humans, enhancing adaptability in manufacturing.

A look at how YOLO has changed object detection in various fields.

A model to forecast stress and crack formation in polycrystalline materials.

Learn how optimal control techniques can improve decision-making in various fields.

A method to find hidden cracks using sound waves enhances safety and inspection processes.

A look at how materials respond to stress and the methods to analyze them.

Engineers improve system performance by integrating design and control with robust strategies.

Discover how enhanced machine learning helps improve composite material production.

A method to analyze moving objects using only photographs.

A novel method uses 3D models to enhance anomaly detection in manufacturing.

Combining visual and haptic sensors enhances pose estimation for safer human-robot collaboration.

This study presents a fresh method for detecting anomalies in various contexts.

DextrAH-G improves robotic grasping for various applications in real-world settings.

New methods and datasets improve defect detection in manufacturing.

New ceramics combine strength and toughness for industrial use.

New AI methods improve defect detection through synthetic image generation.

New method improves path planning for robots and aircraft.

A new method for improving point cloud modeling is proposed.

A look at modern task planning in factories with robots and humans.

A study on effective impedance measurement methods for reliable bearing condition monitoring.

OIDD enhances soft robot design for better adaptability and performance.

A new method enhances anomaly detection in manufacturing through trend analysis and model uncertainty.

GCS* offers a new method for efficient path planning in complex environments.