• Calendar

January 25, Tuesday
12:00 – 13:30

In egocentric perceptual control, an agent is tasked with enforcing a particular perseption on a given sensory system through actions within its environment. As an example, consider turning a robot's camera to keep a particular colour blob centered in its field of vision. Consider now what happens if the blob size represents proximity of a dangerous object? If we would like to keep safe distance (or simply run away) we would like the perceived size of the colour blob to diminish with time. However, that means that the task is described though a dynamical concept: how does the blob size (and location in visual field) changes over time. To enable a consistent treatment of such egocentric perceptual tasks, I will introduce a control framework termed Dynamics Based Control (DBC), and its implementation for partially observed Markovian environments. I will then show how this implementation can be extended for a multi-agent scenario. In particular, I will demonstrate a domain where this method works even when agents can not directly monitor the activity of other participants.