Rapyuta is a part of European RoboEarth Project through which robots will download the information to learn different aspects of life including their behaviour and the environment. RoboEarth Web site states, “The goal of RoboEarth is to allow robotic systems to benefit from the experience of other robots, paving the way for rapid advances in machine cognition and behaviour, and ultimately, for more subtle and sophisticated human-machine interaction.”
Robots can use this information and increase their performance. Scientists also believe that the cost of the robots will go down because they will rely more on Rapyuta.
Dr. Heico Sandee, Robo Earth program manager, told BBC News, “On-board computation reduces mobility and increases cost”, adding that as the network evolves “more robotic thinking could be offloaded to the Web.
The wirelessly accessible database currently serves as a fount of information for “software components, maps for navigation (e.g., object locations, world models), task knowledge (e.g., action recipes, manipulation strategies), and object recognition models (e.g., images, object models),” according to researchers.
Information in the database comes from both robots and humans and is presented in a machine-readable format in a “Cloud Robotics infrastructure which includes everything needed to close the loop from robot to the cloud and back to the robot.”