The exclusive data bank for robots will help the machines how to find keys, pour a drink, put away dishes and when not to interrupt two people having a conversation.
‘Our laptops and cell phones have access to all the information we want. If a robot encounters a situation it has not seen before, it can query ‘Robo Brain’ in the cloud,’ explained lead researcher Ashutosh Saxena, an assistant professor of computer science at Cornell University in New York.
‘Robo Brain’ is currently downloading and processing about one billion images, 120,000 YouTube videos and 100 million how-to documents and appliance manuals.
‘The information is being translated and stored in a robot-friendly format that robots will be able to draw on when they need it,’ Saxena added.
According to him, ‘Robo Brain’ will process images to pick out the objects in them and by connecting images and video with text, it will learn to recognize objects and how they are used, along with human language and behaviour.
For example, if a robot sees a coffee mug, it can learn from ‘Robo Brain’ not only that it is a coffee mug but also that liquids can be poured into or out of it, that it can be grasped by the handle, and that it must be carried upright when it is full.
‘Our laptops and cell phones have access to all the information we want. If a robot encounters a situation it has not seen before, it can query ‘Robo Brain’ in the cloud,’ explained lead researcher Ashutosh Saxena, an assistant professor of computer science at Cornell University in New York.
‘Robo Brain’ is currently downloading and processing about one billion images, 120,000 YouTube videos and 100 million how-to documents and appliance manuals.
‘The information is being translated and stored in a robot-friendly format that robots will be able to draw on when they need it,’ Saxena added.
According to him, ‘Robo Brain’ will process images to pick out the objects in them and by connecting images and video with text, it will learn to recognize objects and how they are used, along with human language and behaviour.
For example, if a robot sees a coffee mug, it can learn from ‘Robo Brain’ not only that it is a coffee mug but also that liquids can be poured into or out of it, that it can be grasped by the handle, and that it must be carried upright when it is full.