• Corpus ID: 44571309

Benchmarking Speech Understanding in Service Robotics

@inproceedings{Vanzo2017BenchmarkingSU,
  title={Benchmarking Speech Understanding in Service Robotics},
  author={Andrea Vanzo and Luca Iocchi and Daniele Nardi and Raphael Memmesheimer and Dietrich Paulus and Iryna Ivanovska and Gerhard K. Kraetzschmar},
  booktitle={AIRO@AI*IA},
  year={2017}
}
Speech understanding is a fundamental feature for many applications focused on human-robot interaction. Although many techniques and several services for speech recognition and natural language understanding have been developed in the last years, specific implementation and validation on domestic service robots have not been performed. In this paper, we describe the implementation and the results of a functional benchmark for speech understanding in service robotics that has been developed and… 
1 Citations
Tell Your Robot What to Do: Evaluation of Natural Language Models for Robot Command Processing
TLDR
This work presents a comparative analysis and benchmarking of four natural language understanding models - Mbot, Rasa, LU4R, and ECG to understand domestic service robot commands.

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