The rapid development of artificial intelligence and robots, the research and
development of intelligent dialogue robots are very necessary for today's
society. However, a robotic algorithm system that simulates navigational
English conversation has not yet been developed. In order to find a suitable
algorithm system for dialogue robots, this paper uses the test data set to
test the analytical model of navigational English dialogue instructions. The
experimental results show that the conditional random field (CRF) + domain
dictionary + ambiguity resolution method has the highest segmentation
effect. The calculated percentages of the analytical model are correct rate:
76.85%; recall rate: 80.36%; F-value: 88.46%. This paper implements a robot
teaching and reproduction method based on simulated navigational English
conversation and human-computer interaction under the background of
artificial intelligence, and designs robot motion realization experiments
and speech recognition experiments. The three-dimensional error after
fine-tuning the voice is between 1.6798mm and 2.9968mm. This article
constructs a simulation navigational English dialogue robot system. The FAQ
component has up to 79.2%; others have a lower accuracy rate of only 59.03%.