A Robust Human-Robot Communication System Using Natural Language for HARMS
作者： Amy R. Wagoner , Eric T. Matson
DOI: 10.1016/J.PROCS.2015.07.178
关键词:
摘要: Abstract This paper presents a robust human-robot communication system using natural language for HARMS (Human, Agent, Robot, Machine, Sensor). is unique model designed multi-agent systems. The focuses specifically on allowing humans to easily and naturally communicate with other agents in the system. uses specially algorithms that can accept any input, classify input as one of three message types HARMS, interpret machine readable commands be transmitted agents. because it does not rely specific set (i.e. direct commands) or syntax. user need prior training naturally. Tests were performed each sentence (imperative, interrogative, declarative) an overall accuracy 96.6%.
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