Latest Articles for Automation

This work presents a strategy for agents to independently diagnose and resolve issues.

Learn how breaking down complex tasks helps robots navigate effectively.

This article presents a method to control the shape of flexible objects using offline RL.

New methods improve how robots map their environment for specific tasks.

New method improves robots' ability to grasp objects effectively and securely.

This study explores how robots learn walking through experience and symmetry.

A new method enhances teamwork among robots in complex environments.

A method for creating adaptable controllers for different robot designs.

A look at how hybrid feedback helps robots avoid obstacles.

Efficient methods for assigning tasks to multiple robots in real-time environments.

This research presents a model for robots to learn affordances through interactions.

An overview of deep reinforcement learning in bipedal robot movement.

A new method aims to automate testing in changing compiler environments.

A new method enhances robot path planning in dynamic situations.

Addressing drone delivery issues when communication fails mid-flight.

A new technique improves the verification of large distributed systems.

New method enhances how machines navigate and understand language commands.

A new method allows robots to learn tasks by observing human actions.

GXU logic offers structured methods for creating efficient control systems in automation.

A method for agents to maintain shapes with minimal communication.

Discover how robots collaborate to explore unknown environments efficiently.

A new method assesses humanoid robots' standing and walking abilities.

Small robots coordinate to encapsulate multiple signal sources without direct communication.

Learn how to create reliable programs that react to their environment.

This article outlines a method for robots to optimize paths considering time and energy.

DiffuseLoco improves robot walking, enabling quick adaptation using past experiences.

Investigating the efficiency and challenges of multi-robot teams in various tasks.

A new method enhances robotic learning by combining language models and reinforcement learning.

New method allows robots to interact with unseen objects using online videos.

A new method reduces message collisions between connected vehicles.

Differentiable Particles approach revolutionizes how robots handle changing shapes.

Drones enhance factory tasks by achieving better positioning accuracy through sensor data.

Examining the challenges and future roles in automatic programming with LLMs.

UnSAMFlow improves optical flow estimation using segment-level information for better accuracy.

New approaches improve AI's ability to interact with GUIs effectively.

A new gripper design enhances robotic handling through flexibility and sensing.

This study examines the role of LLMs in creating effective test oracles for software.

Robots learn skills by watching humans perform tasks with both hands.

A new framework uses technology to streamline failure analysis in healthcare.

This article discusses early stopping to improve model selection efficiency in machine learning.