Science

Researchers demonstrate a system allowing a wheelchair to autonomously track a human leader using sensor fusion and learning.

A new system aims to streamline software development and deployment for robotics and AI, tackling long-standing reproducibility issues.

New methods are emerging to map relationships between variables and build more robust, interpretable AI for healthcare.

New research enables safer, more intuitive manipulation for soft robots by predicting potential collisions and force limits in real time.

A new AI framework leverages medical knowledge and image analysis to improve the detection of difficult-to-diagnose neurological conditions.

This research presents a framework enabling robots to learn complex manipulation skills by retrieving and applying knowledge from human demonstration videos.

Moving beyond prediction, a new approach to city planning leverages AI agents that can justify their decisions and collaborate effectively.

A new framework enables robots and humans to learn from each other, building a shared understanding for more effective teamwork.

A new framework leverages community knowledge to help researchers quickly identify the most relevant datasets and baseline models for their work.

New simulation techniques are enabling robots to learn complex manipulation skills without needing endless real-world training.