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EN
This paper describes the design and the basic implementation of a Semantic Support System (SSS) for Urban Search and Rescue (USAR) operations. The system is intended for use by rescue teams equipped with mobile robots. The goal of the work is to provide the rescue team with a global operational picture that ensures proper information availability. The core of the system is a semantic model of the environment based on Qualitative Spatio-Temporal Representation and Reasoning (QSTRR)[1] framework. Thus, the ontology of the semantic model is described. The ontology is based on Humanitarian Data Model enhanced by the robot`s information. SSS is designed to work with multiple data sources: Geographic Information System (GIS), 3D point clouds, camera images etc. The article describes,as an example, the results of building the semantic model from 3D point clouds. An example of qualitative reasoning based on the semantic model is shown.
EN
The paper concerns the research related to the improvement of control and supervision of web connected mobile robots using Physic Processing Unit (PPU). PPU computations taken into the consideration include rigid body dynamics, collision detection and raycasting. The result is improved by Human Machine Interface that allows performing semantic simulation during multi robot task execution. Semantic simulation engine provides tools to implement the mobile robot simulation, which is based on real data delivered by robot’s observations in INDOOR environment. The supervision of real objects such as robots is performed by association with its virtual representation in the simulation, therefore events such as object intersection, robot orientation - pitch and roll are able to be monitored. The simulation can be integrated with real part of the system with an assumption of robust localization of real entities, therefore Augmented Reality capabilities are available.
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