Researchers have developed a new framework enabling mobile robots to understand natural language instructions and visually perceive their environment to perform intricate object manipulation tasks.
New research explores how well artificial intelligence can discern the qualities that make a mathematical problem genuinely interesting, comparing its judgment to that of human mathematicians.
A new framework accurately models the dynamics of robots combining rigid and flexible components, paving the way for more realistic control and learning.
A new multi-agent system is streamlining the early stages of drug development with promising results.
Generative AI tools offer exciting possibilities, but their application to qualitative methods demands critical scrutiny.
A new benchmark assesses how well AI can synthesize information from multiple sources and perform deep research tasks.
A new decentralized approach allows multiple heavy, articulated vehicles to navigate and avoid collisions without jackknifing.
Can artificial intelligence truly help scientists explore new frontiers and generate novel research directions?
CAVER autonomously builds an understanding of the physical world through audiovisual exploration, opening doors for more adaptable and intelligent robotic systems.
A new multi-agent system tackles complex scientific problems by coordinating specialized AI to achieve human-level reasoning across diverse domains.