Science

Deep learning is rapidly changing how robots navigate and interact with the world, promising more flexible and intelligent robotic manipulation.

A new neural network architecture bridges the gap between deep learning and symbolic regression, offering a path towards interpretable and analytically-recoverable models.

A new framework allows robots to understand workspace dynamics and offer help before being asked, paving the way for more intuitive human-robot collaboration.

A new analysis reveals that AI’s generation of false legal authorities isn’t random error, but a predictable consequence of its underlying architecture.

Researchers have developed a remotely controlled, tendon-driven robotic hand powered by soft actuators, enabling compliant and safe manipulation of fragile objects.

A new robotic platform, AgentChemist, is pushing the boundaries of laboratory automation by integrating chemical sensing with dynamic, adaptive control.

This review details a novel workflow employing artificial intelligence to autonomously assess and strengthen the cybersecurity of critical industrial systems.

Researchers have created an automated framework where artificial intelligence agents independently evolve and refine algorithms for improving language model performance.

A new control system leverages the principles of quadrature oscillation to enable coordinated, electronics-free locomotion in origami-inspired robots.

A new approach to robot navigation uses biologically inspired vision to allow robots to react instantly to changes in their environment.