New CMU-Developed Software Sees Poses and Grasping

Yaser Sheikh, associate professor of robotics, said these methods for tracking 2-D human form and motion open up new ways for people and machines to interact with each other, and for people to use machines to better understand the world around them. The ability to recognize hand poses, for instance, will make it possible for people to interact with computers in new and more natural ways, such as communicating with computers simply by pointing at things. See a demonstration of the technology on Youtube, here.

Carnegie Mellon University Robotics Institute

Carnegie Mellon Robotics Academy