Towards context-aware natural language understanding in human-robot-collaboration

Abstract

Human-robot-collaboration still poses a challenge to contemporary robotic systems. Besides functional safety, usability and user experience are topics of current research. This paper describes an approach that combines contextual-awareness and natural language understanding (NLU) to convey human intents to a robotic system. A user study is then conducted using the system in a simplified collaborative assembly scenario and the findings are discussed.