Latest Articles for Robotics

A clear look at how shapes change and adapt in various contexts.

MA-COPP offers new insights into predicting outcomes in complex multi-agent settings.

A fixed loudspeaker improves vehicle tracking accuracy in complex environments.

This study focuses on how robots can plan despite making mistakes.

Robots optimize movement using a new collaborative learning technique.

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

In-context QD leverages past successes to create diverse solutions.

An overview of deep reinforcement learning in bipedal robot movement.

A new approach to safety analysis using piecewise stochastic barrier functions.

A new method enhances accuracy in tracking multiple moving targets in groups.

A new framework enhances model-based reinforcement learning with adaptive control for better decision-making.

A new method enhances robot path planning in dynamic situations.

MUSIC framework enhances distributed optimization by improving speed and reducing communication costs.

A robotic agent navigates space to uncover hidden line boundaries effectively.

New model improves depth estimation using event camera data through efficient algorithms.

This study combines RGB-D cameras and IMUs for better motion estimation.

A method to train robots for complex tasks while ensuring safety.

New method enhances how machines navigate and understand language commands.

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

This article discusses a new control method for stable quadrupedal movement on shifting surfaces.

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

A method for agents to maintain shapes with minimal communication.

ROAM allows robots to efficiently map areas through teamwork and shared data.

A look at improving dynamic system models using destination information.

Discover how robots collaborate to explore unknown environments efficiently.

This article examines trust issues in robot teams for reliable data gathering.

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

Robots can enhance navigation by classifying different terrains in challenging environments.

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

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

Assessing image translation techniques in self-driving car testing.

New method enhances shadow removal in images through deep learning and transformers.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

A novel method enhances human feedback efficiency in RL using low-quality data.

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

Learn how groups of agents can agree despite unreliable members.

MV-RGBT offers a realistic dataset for evaluating RGBT tracking methods.

Learn how to build and refine models of dynamic systems using advanced techniques.

New low-cost cameras offer efficient 3D imaging solutions across various fields.

A new method enhances control strategies for complex systems influenced by uncertainties.