Despite considerable progress in mimicking human hand kinematics and control algorithms, robotic systems have long struggled to match human capabilities in dynamic settings, primarily due to ...

Researchers at the University of Southern California recently developed the MOTIF (Multimodal Observation with Thermal, Inertial, and Force sensors) hand, a new robotic hand that could improve the ...

Prosthetic appendage uses three layers of touch sensors to accurately differentiate between textures.

The Shadow Hand robotic appendage is primarily built for machine learning projects with a focus on dexterity — but its creators want you to know just how tough it is.

A robotic hand can pick up 24 different objects with human-like movements that emerge spontaneously, thanks to compliant materials and structures rather than programming.

Key Takeaways Johns Hopkins biomedical engineers created a prosthetic hand that can grip objects with near-human precision skill. Unlike traditional robotic hands, this bioinspired hand combines rigid ...