Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.

Researchers create new simulation tool for robots to manipulate complex fluids in a step toward helping robots more effortlessly assist with daily tasks.

By mapping the volumes of objects, rather than their surfaces, a new technique could yield solutions to computer graphics problems in animation and CAD.

This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems.

Through the Multidisciplinary University Research Initiative, the US Department of Defense supports research projects in areas of critical importance to national defense.

FlexBoard is a flexible breadboard that enables rapid prototyping of objects with interactive sensors, actuators, and displays on curved and deformable surfaces.

Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.

Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.

The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.

SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.