Semantic Framework for Social Robot Self-Configuration

Abstract

Healthcare environments, as many other real world environments, present many changing and unpredictable situations. In order to use a social robot in such an environment, the robot has to be prepared to deal with all the changing situations. This paper presents a robot self-configuration approach to overcome suitably the commented problems. The approach is based on the integration of a semantic framework, where a reasoner can take decisions about the configuration of robot services and resources. An ontology has been designed to model the robot and the relevant context information. Besides rules are used to encode human knowledge and serve as policies for the reasoner. The approach has been successfully implemented in a mobile robot, which showed to be more capable of solving situations not pre-designed.

A Wireless Sensor Network-Based Approach with Decision Support for Monitoring Lake Water Quality

“…The WSN should have flexibility in task scheduling and execution, and it should be able to re-plan how to proceed from this abnormal state. Flexibility in resource management [ 18 ]. WSN nodes have extremely limited energy, memory, and computing resources.…”

“…Flexibility in resource management [ 18 ]. WSN nodes have extremely limited energy, memory, and computing resources.…”