The Semantic Robot Vision Challenge seeks to fuse the state of the art research from various vision and mobile robotics communities. In this challenge, robots must perform a scavenger hunt in a previously-unknown indoor environment. The robots will be given an electronic text file that will contain a list (in English) of objects that must be located in the environment. Before entering the competition arena, the robots will be given time to access the Internet and search it for examples of the objects in order to build a classification database. Once the robot has its database, it will be required to explore the competition arena and perform a computer vision-based search for these objects. At the end of the event, the robots are required to generate a set of images of the objects (taken from the robot's on-board cameras) where the locations of the objects are highlighted with a bounding box and labeled appropriately. Teams will be scored by how many objects have been correctly located.

This competition is meant to be a multi-year endeavor that will get progressively more difficult as teams are able to reach the challenges set forth by the current year's rules. At the end of each year's competition, the rules will be revisited and revised so as to achieve this goal.

• The Registration page.

• The Qualification page.