Robot sensor data interoperability and tasking with semantic technologies

In large-scale monitoring programs, such as in agriculture and environmental management, field robots have potentially lower cost and technical overhead than multiple static sensors. Robot sensing data, however, is not generally shared during, or after deployment. This is a wasted opportunity for enhancing autonomous decision making in the robot with external data, or for providing potentially useful data to other systems. We present how semantic technologies; including Linked Open Data principles and ontologies can assist by improving robot data interoperability.