Science

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’.

A new open-source library aims to streamline the entire robot learning pipeline, from data acquisition to algorithm deployment.

A new dataset reveals detailed insights into how researchers are interacting with and leveraging artificial intelligence to accelerate their work.

New research demonstrates a method for reconstructing full robot movements from minimal user input, opening doors for intuitive teleoperation and assistive robotics applications.

A new approach combines the power of artificial intelligence with traditional methods to automatically discover the fundamental laws governing material behavior.

Researchers are exploring how embedding social robots within everyday appliances, like refrigerators, can subtly influence behavior and promote wellness at home.

The rise of sophisticated AI agents is forcing a critical re-evaluation of the social science research process and the skills researchers need to thrive.

New research details a computationally efficient approach for mobile robots to detect and interpret social cues from human-human interactions.

A new framework called ‘inferential mechanics’ aims to build more reliable machine learning models by explicitly incorporating underlying causal relationships within biological data.