Latest Articles for Automation

GRAD-SUM automates prompt creation for better results with large language models.

A new dataset aims to support automation in construction processes.

Exploring methods for creating reliable controllers in various environments.

A new automated pipeline streamlines real-time object detection processes.

Explore MLOps practices in large companies and their real-world challenges.

This study focuses on offline reinforcement learning and algorithm development to improve decision-making.

New technologies are changing how mushrooms are grown, detected, and harvested.

Research highlights new methods for creating and analyzing droplets in microfluidics.

Robots use affordable LED signals for efficient positioning and collaboration.

New method improves drone coordination and efficiency in complex environments.

Researchers propose a new method for robot locomotion focusing on foot placement.

This article presents a method to enhance safety and stability in automation systems.

Humanoid robots are changing how we approach work in various industries.

A new approach enhances legged robot movement across obstacles.

A new method improves robot walking safety and efficiency.

New methods aim to improve how robots manage uncertain contact timings.

A new method helps machines learn in-hand tool manipulation effectively.

Octopus streamlines scientific processes through effective event-driven architecture.

Agent-E enhances online task performance with innovative features and improved design.

Robots can now learn tasks from videos without labels, thanks to R+X.

Robots learn tasks by observing human actions using visual examples.

Exploring deep Model Predictive Control for adaptable robotic movement.

IICPilot simplifies backend design tasks for engineers using integrated circuits.

This article explores how reinforcement learning can optimize microreactor operations.

A new framework improves accuracy and efficiency in generating API calls.

Universal plans streamline robotic movement across diverse environments and situations.

Robots enhance task performance by understanding object interaction.

Discover how deep learning aids economists in analyzing complex data.

Anticipatory task and motion planning improves robot efficiency in daily activities.

An overview of key issues in designing specialized computing hardware.

New language-driven methods enhance robot learning for multiple tasks.

A framework improves the conversion of sketches into CAD files, enhancing design efficiency.

New methods improve robots' ability to handle unfamiliar objects.

LaMAGIC automates analog circuit design, saving time and improving accuracy for engineers.

SciQu speeds up material property predictions using machine learning and automated data extraction.

GET-Zero enhances robots' adaptability across varied designs without extensive retraining.

POGEMA framework enhances multi-agent navigation for efficient obstacle avoidance.

Study reveals how advanced learning methods improve machine adaptability to hardware issues.

New methods improve robotic grasping by utilizing advanced modeling techniques.

Researchers propose a method for robots to learn manipulation with less human input.