Now roboticists say they want to try a similar approach with video to teach their charges how to interact with the environment. Sudeep Dasari at the University of California, Berkeley, and colleagues are creating a database called RoboNet, consisting of annotated video data of robots in action. For example, the data might include numerous instances of a robot moving a cup across a table. The idea is that anybody can download this data and use it train a robot's neural network to move a cup too, even if it has never interacted with a cup before.
Nov-8-2019, 06:56:55 GMT