Latest Articles for Automation

New machine learning approaches improve robotic tracking capabilities in uncertain environments.

Introducing FormNexus, a method for automating web form testing efficiently.

New systems automate responses to patent Office Actions, improving efficiency for attorneys.

This article discusses a new method for machines to use tools in dynamic environments.

A new method helps identify and address failures in automated systems using simulations.

Introducing AgentHPO, a framework that automates hyperparameter tuning using Large Language Models.

This article studies how the iP controller manages stability in linear control systems.

Discover how agents can improve foundation models for better AI outcomes.

Leveraging technology for efficient analysis of international crisis data.

A new approach improves workflow design in data analysis through automation and flexibility.

A new PD controller enhances the performance of flexible joint robots.

A new method combines learning and safety for smarter robot control.

Researchers present an automated method for efficient ICD coding of medical texts.

Understanding the role of time in automated systems enhances their functionality.

A method combining quick decision-making with diverse robot behaviors.

New method for safe robotic exploration while learning effectively.

A new method enhances safety for robots navigating complex environments.

A project aims to automate train delay code classification using machine learning.

A new approach to reinforcement learning addresses delayed rewards using bagged feedback.

CURE improves robot performance by optimizing configuration settings efficiently.

New methods improve control design for complex robotic specifications.

New methods help robots explore unfamiliar environments without prior maps.

Using Vision-Language Models to enhance robot feedback and learning efficiency.

Exploring new methods for creating effective design layouts.

A new method helps robots find safe paths amid uncertainty.

Examining control methods for agents maintaining formations while following a path.

Introducing ScreenAgent, an innovative AI for managing computer tasks effectively.

Learn how to manage unknown systems effectively with agnostic control strategies.

A new method for faster and better machine learning program searches.

Developing algorithms to improve reinforcement learning using human feedback despite data corruption.

A new tool reduces expenses in automated bug fixing while maintaining effectiveness.

ACTER offers effective explanations for machine decision failures in reinforcement learning.

Researchers develop a method for efficient robot control across different designs.

Robots can learn manipulation skills through video-based learning methods.

New methods enhance how machines learn to follow human commands effectively.

A new approach to align agents with human goals and surroundings.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

Robots can now perform new tasks without needing retraining, thanks to zero-shot adaptation.

A new framework for improving safety and performance in hybrid robotic systems.

Introducing Adaptive Safe Reinforcement Learning for improved safety in robotic systems.