PROBABILISTIC OBJECT MODELS FOR ROBUST, REPEATABLE PICK-AND-PLACE

摘要

A method includes, as a robot encounters an object, creating a probabilistic object model to identify, localize, and manipulate the object, the probabilistic object model using light fields to enable efficient inference for object detection and localization while incorporating information from every pixel observed from across multiple camera locations.