Jientrakul, Ranon

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Jientrakul, Ranon
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ranon.ji@kmitl.ac.th

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    Item type:Publication,
    Multiple-performance optimization for human-robot collaboration: A translation motion in a tele-sandblasting maintenance system
    (2016-01-01)
    Jientrakul, Ranon
    ;
    Yuangyai, Chumpol
    ;
    Chotiprayanakul, Pholchai
    ;
    Limnararat, Sunpasit
    Human-robot collaboration is a vital part of teleoperation systems. Determining the design parameters satisfying the optimal human performance is very important in the design of a teleoperation system for a specific task. Specifically, to thoroughly represent human performance for a task, multiple performance measures in a teleoperation system are evaluated. The experiment was also conducted on a mixed-reality tele-sandblasting system which is setup to study 2D-motion translation in tele-sandblasting task. Then, identifying the design setting to satisfy the optimal measures are difficult due to conflicts among them. Therefore, this paper presents a multipleperformance optimization using a desirability function. The results provide the range of setting condition promoting the optimal human performance measures. © IEOM Society International.
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    Variation minimization in tele-sandblasting system: The effect of human-arm movement error
    (2018-08-14)
    Jientrakul, Ranon
    ;
    Attavanish, Pornsak
    ;
    Chotiprayanakul, Pholchai
    ;
    Limnararat, Sunpasit
    ;
    Yuangyai, Chumpol
    In tele-sandblasting task, human arm movement is a critical source of producing variation in position of sandblasting nozzle resulting in high operating cost and low productivity. Each operator behaves differently leading to unpredictable movements. Skilled operators are able to reduce the variation; however, developing skills requires a training period. In this paper, we proposed a new approach which is the use of a novel operator's arm movement pattern incorporated with a Kalman filter to reduce the effect of human-arm movement error. A virtual tele-sandblasting system is used to validate our approach. The experimental results verify that our proposed approach is able to significantly reduce the effect of human arm movement error. The approach helps operators to perform the task more comfortably and takes short training time.
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    Investigating multiple human performance measures in teleoperation task: A translation task in a tele-sandblasting maintenance system
    (2018-05-01)
    Jientrakul, Ranon
    ;
    Yuangyai, Chumpol
    ;
    Cheng, Chen Yang
    ;
    Chotiprayanakul, Pholchai
    ;
    Limnararat, Sunpasit
    In sandblasting tasks for complex steel structure maintenance, teleoperation is required to keep humans away from occupational risk and hazard. On the other hand, teleoperation typically degrades system-human performances, resulting in poor product quality and must be designed such that the performances remain as high as possible. However, designing the teleoperation system regarding to a single performance measure may lead to an improper design. In this article, we propose two novel loss-function-based human-performance measures to incorporate with a widely used performance measure, movement time, to thoroughly represent performance: unfinished surface and damaged surface. We aim to investigate the effects of two main design parameters, viewing distance and path width. The results show that only path width is significant for overall performances. Furthermore, the effect of gender is significant such that men outperform women in cleaning the surface. Finally, the optimal setting conditions are suggested to achieve their optimal performances.
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    Minimizing multi-stage system variation using Kalman filter for a tele-sandblasting system
    (2016-10-20)
    Jientrakul, Ranon
    ;
    Yuangyai, Chumpol
    In teleoperation systems which generally require human-robot collaboration to operate the tasks, task performances suffer from uncontrollable factors, i.e., human skills, time delay, and robot movement errors. To incorporate with this situation, the system must be designed to withstand those factors' effects. Recently, system robustness has become an essential issue for designing manufacturing systems. In this paper, we present a robust design to control the variation for multi-stage tele-sandblasting system. The objective is to locate the sandblasting nozzle at desired positions while minimizing system variation. A multi-stage variation estimation model with Kalman filter is proposed to estimate and control the system variation over time. The results show that our approach significantly decreases tele-sand blasting system variation.