image: Inspired by the effortless way humans handle objects without seeing them, a team led by engineers at the University of California San Diego has developed a new approach that enables a robotic ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Humans use all surfaces of the hand for contact-rich manipulation. Robot hands, in contrast, typically use only the fingertips, which can limit dexterity. In a new study from the lab of Aaron Dollar, ...

Inspired by the effortless way humans handle objects without seeing them, engineers have developed a new approach that enables a robotic hand to rotate objects solely through touch, without relying on ...