Latest Articles for Robotics

A new method identifies motor failures in quadrotors for enhanced safety.

A new method improves decision-making in dynamic environments for AI agents.

Discover how Actions World Models improve decision-making in complex environments.

New methods enhance safety for complex systems like robots and autonomous vehicles.

This study reveals how to align robot voices with their designs effectively.

A new method improves decision-making under constraints in reinforcement learning.

New methods improve control design for complex robotic specifications.

New methods help robots explore unfamiliar environments without prior maps.

Examining tether entanglement challenges and new solutions for tethered robots.

Robots improve data collection efficiency with dynamic path planning in unknown environments.

New control method enhances robot interaction for cleaning and sanding tasks.

Artificial agents learn communication strategies to improve collaboration in a game.

A new approach streamlines hand motion adaptation for various applications.

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

LPT enhances machine decision-making by emphasizing planning over immediate rewards.

A new method helps robots find safe paths amid uncertainty.

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

This article explores the integration of reinforcement learning with stochastic optimal control for safer decision-making.

A method for robots to better assess their surroundings using combined visual and tactile data.

A new framework for dynamic AI agents across various fields.

A new method enhances control of nonlinear systems with changing parameters.

A look at managing safety in uncertain environments for autonomous systems.

A new framework enhances learning despite missing feedback.

Examining formation control techniques for multiple agents using distance and bearing constraints.

Advancements in AI focus on assessing uncertainty in robotic object detection.

A new method enhances UAV path planning in dynamic environments.

Researchers explore LLMs for guiding robots' walking movements with text prompts.

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

A new method enhances how robots interpret user instructions safely.

A new method allows autonomous vehicles to be controlled without real-world data.

New methods improve understanding and applications of soft robotic systems.

hFedF improves federated learning performance by tackling domain generalization challenges.

This study compares evolution strategies and deep reinforcement learning in various tasks.

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

This article presents a new method for testing nonnegativity in polynomials.

Exploring methods to improve robot performance in unpredictable environments.

A DRL agent wins IEEE microRTS competition, showcasing AI potential in gaming.

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

Exploring key insights to improve VLMs and their applications.

This study analyzes how design methods impact robot evolution for movement tasks.