Latest Articles for Automation

Dynamic gear-ratios enhance robot performance and adaptability in various tasks.

ReAd enhances robot teamwork by refining planning and feedback mechanisms.

This article discusses the benefits of human-centered automation in modern technology.

A new framework enhances the efficiency of automated penetration testing using reinforcement learning.

Smart factories leverage 5G technology for improved efficiency and resource management.

A new framework helps robots learn and adapt in changing workspaces.

Robots can now ask for help to complete complex tasks.

A new model improves robot learning for complex tasks.

Techniques for guiding robots to specific locations while avoiding obstacles.

Examining advancements and challenges in automating Model-Driven Engineering.

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

A new system enhances robot skill adaptability for various tasks.

Robots learn physical properties of objects by manipulating them for improved recognition.

CCIL offers a new approach to improve robot learning through corrective labels.

A new method enhances robot collaboration in maze exploration.

Examining the role of LLM agents in real-world problem solving.

This article discusses a new approach to control complex systems using real-time data.

Robust reinforcement learning adapts strategies for reliable outcomes despite real-world challenges.

A study on desktop robots using natural language and visual recognition technologies.

A new algorithm enhances image quality assessment for astronomical data analysis.

Exploring how human feedback shapes autonomous vehicle behavior through reward systems.

New methods for combining data types enhance AI performance across various tasks.

Legged robots are evolving to meet diverse challenges across various fields.

A new approach to improve robot movement planning and manipulation tasks.

Innovative method improves bug fixing efficiency using LLM-generated patches.

A look at new strategies for stabilizing unknown, noisy systems in engineering.

Learn how differential inclusions approach complex motion challenges across various fields.

This article discusses methods for verifying neural networks in reach-avoid tasks.

Learn how to control a unique robot balancing on a ball.

A new web-based UI simplifies controlling robotic systems for non-experts.

Discover how robots are transforming assembly processes in factories.

A look at the benefits of self-tuning control for energy efficiency in industries.

A new algorithm enhances motion planning by utilizing GPU capabilities for faster computations.

Researchers propose touch-based methods for robots to enhance accuracy in uncertain environments.

LogBatcher simplifies log parsing using large language models without prior training.

Whisker sensors help robots navigate and understand their environments with precision.

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

Exploring how DFAs help synchronize machines for efficient operation.

A transformer-based system improves how robots learn multiple tasks.

Research showcases improved robotic arm control using deep reinforcement learning.