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rrSDS: Towards a Robot-ready Spoken Dialogue System

Casey Kennington, Daniele Moro, Lucas Marchand, Jake Carns, David McNeill

Year
2020
Citations
15
Access
Open access

Abstract

Spoken interaction with a physical robot requires a dialogue system that is modular, multimodal, distributive, incremental and temporally aligned. In this demo paper, we make significant contributions towards fulfilling these requirements by expanding upon the ReTiCo incremental framework. We outline the incremental and multimodal modules and how their computation can be distributed. We demonstrate the power and flexibility of our robot-ready spoken dialogue system to be integrated with almost any robot.

Keywords

Modular designFlexibility (engineering)Computer scienceRobotDistributive propertyHuman–computer interactionComputationSelf-reconfiguring modular robotArtificial intelligenceSpoken language

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