RISE: an open-source architecture for interdisciplinary and reproducible human–robot interaction research

Abstract

Groß A, Schütze C, Brandt M, Wrede B, Richter B. RISE: an open-source architecture for interdisciplinary and reproducible human–robot interaction research. Frontiers in Robotics and AI. 2023;10: 1245501.In this article, we present RISE—aRoboticsIntegration andScenario-ManagementExtensible-Architecture—for designing human–robot dialogs and conductingHuman–Robot Interaction(HRI) studies. In current HRI research, interdisciplinarity in the creation and implementation of interaction studies is becoming increasingly important. In addition, there is a lack of reproducibility of the research results. With the presented open-source architecture, we aim to address these two topics. Therefore, we discuss the advantages and disadvantages of various existing tools from different sub-fields within robotics. Requirements for an architecture can be derived from this overview of the literature, which 1) supports interdisciplinary research, 2) allows reproducibility of the research, and 3) is accessible to other researchers in the field of HRI. With our architecture, we tackle these requirements by providing aGraphical User Interfacewhich explains the robot behavior and allows introspection into the current state of the dialog. Additionally, it offers controlling possibilities to easily conductWizard of Ozstudies. To achieve transparency, the dialog is modeled explicitly, and the robot behavior can be configured. Furthermore, the modular architecture offers an interface for external features and sensors and is expandable to new robots and modalities

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