Dexterous manipulation of the robot is an important part of realizing intelligence, but
manipulators can only perform simple tasks such as sorting and packing in a structured …

Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

Neuroprosthetic hands are typically heavy (over 400 g) and expensive (more than US
$10,000), and lack the compliance and tactile feedback of human hands. Here, we report the …

Recent successes in image synthesis are powered by large-scale diffusion models.
However, most methods are currently limited to either text-or image-conditioned generation …

Humans intuitively understand that inanimate objects do not move by themselves, but that
state changes are typically caused by human manipulation (eg, the opening of a book). This …

We use reinforcement learning (RL) to learn dexterous in-hand manipulation policies that
can perform vision-based object reorientation on a physical Shadow Dexterous Hand. The …

Estimating hand-object manipulations is essential for in-terpreting and imitating human
actions. Previous work has made significant progress towards reconstruction of hand poses …

Humans can feel, weigh and grasp diverse objects, and simultaneously infer their material
properties while applying the right amount of force—a challenging set of tasks for a modern …

Robotic hands perform several amazing functions similar to the human hands, thereby
offering high flexibility in terms of the tasks performed. However, develo** integrated …

Training computers to understand, model, and synthesize human gras** requires a rich
dataset containing complex 3D object shapes, detailed contact information, hand pose and …