3D hand pose estimation represents a pivotal research area at the intersection of computer vision and human‐computer interaction. Recent advances have enabled the extraction of intricate hand joint ...

In the new study, Apple taught an AI model to recognize hand gestures that weren’t part of its original training dataset.

Initially, the Perception module enables the robot to search and identify the object within its environment. Leveraging prior knowledge, the Grasp Planning module predicts an appropriate hand pose for ...

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 ...

A new wristband device developed by researchers at Cornell University utilizes AI and inaudible soundwaves to detect hand positions and interactions with objects. The device, called EchoWrist, has ...

Robotics has made jaw-dropping progress in perception, navigation, and even conversational interfaces. Yet one part of the human body continues to humble engineers: the hand. Despite advanced ...