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USARSim: Simulation for the Study of Human-Robot Interaction

Michael Lewis, Jijun Wang, Stephen Hughes

发表年份
2007
引用次数
86

摘要

The PackBots being used by the U.S. military in Afghanistan and the urban search and rescue (USAR) robots that worked the World Trade Center site are just two recent examples of mobile robots moving from the laboratory to the field. What is significant about these new applications is that they invariably involve some form of human-robot interaction (HRI) rather than the full robot autonomy that has motivated most prior research. Conducting HRI research can be extremely difficult because experimentation with physical robots is expensive and time consuming. Few roboticists have experience or interest in conducting human experimentation, and researchers in human factors or human-computer interaction often lack experience in programming robots or access to robotic platforms. In this paper, we describe a high-fidelity, open-source simulation intended for HRI researchers of varying backgrounds and provide reference tasks and environments to facilitate collaboration in order to share the results. The architecture and capabilities of the game engine–based USARSim simulation are described. Its use for HRI research is illustrated through case studies describing experiments in camera control for remote viewing and integrated display of attitude information.

关键词

Human–computer interactionRobotComputer scienceHuman–robot interactionUrban search and rescueFidelityField (mathematics)Mobile robotAutonomyRescue robot

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