Science

A new framework, InCoM, dynamically focuses perception and coordinates full-body movement to achieve more robust and adaptable mobile manipulation.

A new agentic platform leverages the power of large language models to help researchers discover trustworthy references and streamline the writing process.

Researchers are bridging the gap between simulation and reality for tendon-driven underwater robots, enabling more effective control and navigation.

A new framework proposes that truly helpful AI must move beyond simply recognizing what users are doing and instead grasp the underlying context and motivations driving their behavior.

New research explores how effectively small language models can determine leadership roles in collaborative tasks with humans.

Researchers have created an AI system that autonomously designs high-performance cache replacement policies, potentially accelerating the future of computer architecture.

A new framework proposes a holistic approach to designing wireless systems that seamlessly integrate humans and machines for enhanced performance and intuitive control.

Researchers are increasingly looking to established cognitive models and AI algorithms to design more effective and understandable language agents.

New research demonstrates that dynamic tactile exploration strategies – mimicking how humans feel for an object’s shape – dramatically improve robotic shape reconstruction.

A new theory proposes that agency – the capacity to act and influence – can be mathematically distinguished from intelligence through the concept of ‘bi-predictability’.