Advanced electronic noses and algorithms are transforming robotic olfaction, enabling machines to detect odors for improved ...

Achieving net zero emissions by 2050 and improving competitiveness by reducing production costs is the dual objective set by ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

Seezer combines a compliant 3D-printed finger and miniature camera for innovative vision-based force sensing, improving robotic handling of various objects.

EPFL's innovative robotic hand features a dual-thumbed design and detachable functionality, surpassing human dexterity for ...

DroneHub reshapes robotics testing with a multi-environment framework, promoting sustainability and addressing the ...

New origami-based electrohydraulic actuators enhance soft robots' agility, enabling rapid, untethered movement across complex ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

Managing diabetes is a full-time job. But, AI tools are making insulin dosing, glucose tracking, and everyday care a little ...

Industry experts provide key insights into the trends shaping mobile robotics, from sensor advances to expanding industrial ...

Recently published in Nanotechnology and Precision Engineering, researchers from Guilin University of Electronic Technology ...

Researchers at EPFL have developed a lightweight fabric that can lift more than 400 times its own weight by reconsidering the method of weaving thin metal threads into a pliable textile.