This demo paper serves to describe a research platform for autonomous surveillance by mobile robots. System components from various technical disciplines (including robot navigation, computer vision, discrete event systems, and human-computer interaction) have been combined together into a cohesive, modular system architecture. We employ our architecture to experiment with state-of-the-art methods in planning and decision making under uncertainty, which we demonstrate enable robots to effectively patrol and respond to surveillance events in a large indoor environment.

Integrating large-scale micro-generation in distribution grids is challenging for distribution grid operators, particularly when renewable energy sources (RES) and micro-cogeneration are involved. In this paper we contend that recent developments in multiagent decision making under uncertainty can positively contribute to safe, efficient and cost-effective operation of future distribution grids.