Dex-Net AR: Distributed Deep Grasp Planning Using a Commodity Cellphone and Augmented Reality App
Harry Zhang,Jeffrey Ichnowski,Yahav Avigal,Joseph Gonzales,Ion Stoica,Ken Goldberg,Harry Zhang,Jeffrey Ichnowski,Yahav Avigal,Joseph Gonzales,Ion Stoica,Ken Goldberg
Consumer demand for augmented reality (AR) in mobile phone applications, such as the Apple ARKit. Such applications have potential to expand access to robot grasp planning systems such as Dex-Net. AR apps use structure from motion methods to compute a point cloud from a sequence of RGB images taken by the camera as it is moved around an object. However, the resulting point clouds are often noisy d...
