Latest Articles for Robotics

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.

CaveSeg improves robot navigation and mapping of underwater caves.

A new method enhances cooperation in multi-agent environments for better decision-making.

A look into mean-field control for managing group decision-making.

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.

New method enhances robot safety and efficiency in dynamic environments.

New method improves path planning for data collection in robotics and AI.

Discover how CBS-TA-PTC enhances task assignment and pathfinding.

A look into how NN representations mimic human memory processing.

A new approach helps AI measure uncertainty and improve decision-making accuracy.

New methods enhance machine learning models for 3D data.

Improving the way we identify sound sources using audio-visual data.

A new method enables quick learning from single demonstrations in unstable settings.

A novel approach improves the analysis of uncertain systems like robots and self-driving cars.

A new approach helps machines learn and interpret visual concepts effectively.

New methods combine expert insights with learner experiences for improved efficiency.

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

This study investigates a new method for image matching focused on textured regions.