Latest Articles for Robotics

A new method enhances robot task performance using object understanding and positioning.

A new dataset enhances 3D modeling of hands holding objects from videos.

LEA* offers an efficient way for robots to plan paths while avoiding obstacles.

TELESIM simplifies robotic arm operation for non-experts using a digital twin.

A new approach enhances tracking of overlapping moving targets using clustering methods.

Research shows how simplifying data use improves self-driving vehicle performance.

OccluTrack enhances tracking accuracy by addressing occlusion challenges in crowded environments.

A new method automates dense reward functions using large language models.

This article discusses new methods for improving navigation near asteroids.

Introducing a new method for efficient robot exploration in unknown environments.

Introducing Importance-aware Co-Teaching for enhanced design optimization.

A robot designed to help those with limited mobility eat independently.

This article discusses using natural language to aid computer learning in complex tasks.

A method combining traditional and AI techniques for efficient robotic path planning.

New framework enhances camera localization accuracy using multi-view constraints and LiDAR data.

New methods for effective coordination of underwater vehicles enhance performance and adaptability.

Study on how predator-prey scenarios influence robot behavior development.

A novel control method enhances coordination of underwater vehicles for various tasks.

New methods improve class identification in 3D point clouds with limited data.

A robotic system transforms English language learning through interactive text generation.

A novel approach ensures robots can move quickly and safely around obstacles.

SG-Bot offers a fresh approach to robotic object rearrangement using observation and planning.

A new technique enhances the accuracy of GPS and VIO for better localization.

A single-camera system improves how robots switch between crop rows.

A dataset created to improve robot navigation in diverse environments.

Combining LiDAR and camera data improves robot navigation in crowded spaces.

A new method allows RL agents to change body shapes for better task adaptation.

New system improves robot tracking of individuals in various environments.

POLAR3D enhances lunar datasets, aiding rover training for upcoming Moon missions.

Research explores robotic training for surgical techniques to improve patient safety.

SANPO dataset combines real and synthetic videos to advance navigation research.

Explore how benchmarking, standards, and certification ensure safety in robotics and AI.

A clustering-based strategy helps machines learn continuously without losing prior knowledge.

NanoSLAM empowers small drones to map and navigate autonomously and efficiently.

Neural networks improve the accuracy and efficiency of 3D surface reconstruction from point clouds.

Using game theory, robots coordinate movements in narrow areas to avoid collisions.

Introducing a framework that prioritizes safety in reinforcement learning.

Robots can effectively teach handwriting based on individual learner styles.

A new method enhances 3D scene understanding for better rare object recognition.

Innovative approach improves image recognition testing efficiency and accuracy.