Latest Articles for Automation

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.

A new toolkit aids collaboration in designing pedestrian-vehicle interfaces.

AMRs are transforming warehouse operations by improving efficiency and reducing labor strain.

A look into how LLMs tackle programming by example challenges.

Examining how robots team up for effective confrontation using new learning methods.

New dataset enhances robots' grasping skills using natural language commands.

Robots learn to adapt through vision and imitation techniques, improving usability.

A fresh approach to make digital assistants smarter through ongoing learning.

Explore how AI is transforming software engineering practices and roles.

New method enhances robotic grasping by learning from past successes.

ROSfs transforms data sharing among robots for enhanced teamwork.

A novel approach using energy for machine learning and decision-making.

WeShap values improve data labeling quality for machine learning models.

AI streamlines class diagram creation, increasing efficiency and accuracy in software design.

A new method combines human feedback and machine learning for effective data quality monitoring.

DIPPER optimizes robot learning through human feedback, improving task performance.

Using machine learning to improve laser light coupling into optical fibers.

Examining who is responsible for outcomes influenced by algorithms in decision-making.

LLM-A* merges traditional algorithms with language models for efficient path planning.

Researchers develop new methods for training robots safely in risky environments.

A new method helps robots decide when to stop exploring indoor spaces.

Robots are improving their ability to adapt to tasks in various environments.

A new approach to create APIs from AAS specifications efficiently.

DuMapNet simplifies lane-level map generation, enhancing transportation applications.