RoboSemProc - Mobile Robot Navigation and Human-Robot Communication

• Nazeer Saeed

• project-site

• My, 2019

The project focused on enabling mobile robots to process and convert their sensory inputs into semantic information in real-time. This involved using semantic technology and ontologies to create machine-readable knowledge bases that both robots and humans could understand. The results of the project included the successful transformation of sensory data from multiple sensors into unified semantic statements and the real-time collection of semantic information for ontology population. Additionally, the semantic information generated was effectively used for facilitating natural language communication between robots and humans.