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Agent-Based Human-Robot Interaction Simulation Model for the Analysis of Operator Performance in the Supervisory Control of UGVs

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Abstract

Unmanned ground vehicles (UGVs) are most commonly characterized as dealing with “3D” tasks–dull, dirty, and dangerous with automations. Although most of the UGVs are designed to a high degree of autonomy, human operators will still intervene in the robot operations and tele-operate them to achieve their missions. Thus, operator capacity, together with robot autonomy and user interface, is one of the important design factors in research and development (R&D) of UGVs. This paper presents the implementation of an agent-based human-robot interaction simulation model (called “HRISim”). HRISim was developed to analyze operator capacity of UGVs and its resulting mission effectiveness in the supervisory control of UGVs. HRISim incorporates 1) UGV mission scenario, 2) operator’s task processes, human resources (visual, auditory, cognition, psychomotor), and associated user interface, 3) UGV automation level, such as autonomous unmanned operation, autonomous manned operation, and autonomous command & control operation, together with UGV functionalities including move, fire, and rescue. We further demonstrate some experimental results to show its applicability to the resolution of practical problems to be evaluated during R&D of UGVs.

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Authors and Affiliations

  1. Center of Defense Engineering, Myongji University, 116, Myongji-ro, Cheoin-gu, Yongin-si, Gyeonggi-do, 17058, Republic of Korea

    Sang Yeong Choi

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  1. Sang Yeong Choi
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Correspondence to Sang Yeong Choi.

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Choi, S.Y. Agent-Based Human-Robot Interaction Simulation Model for the Analysis of Operator Performance in the Supervisory Control of UGVs. Int. J. Precis. Eng. Manuf. 19, 685–693 (2018). https://doi.org/10.1007/s12541-018-0082-3

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  • DOI: https://doi.org/10.1007/s12541-018-0082-3

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