Training Simulator for Manual Lathe Operation Using Motion Capture – Addition of Teaching Function and Evaluation of Training Effectiveness –

IF 0.8 Q4 ROBOTICS Journal of Robotics and Mechatronics Pub Date : 2023-02-20 DOI:10.20965/jrm.2023.p0145
Nobuyoshi Hashimoto
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Abstract

Numerous training simulators have been developed using virtual reality (VR) owing to their various advantages. Systems for training machine operations with physical movements face differences in the operational feel between actual and virtual machines. Moreover, virtual training is problematic in safety education because trainees in safe virtual environments can exhibit unsafe behavior in reality. To solve these problems, a previous study developed a virtual reality (VR) system to train a lathe operation with mixed reality using a motion capture system. This study included a function to teach the procedure and safety precautions for straight turning operations using a lathe. To evaluate the training effectiveness of this system, an experiment was conducted to compare learning using a video. Testees were divided into a simulator group, who learned with the system, and a video group, who learned with the video material. Work on the actual lathe by each testee after learning, was evaluated. Consequently, the actual work by the testees who used this system had fewer errors and shorter standstill times in which they attempted to recollect the next phase task. Although the number of trainees was small, this relationship had a statistical advantage. In the actual work, all the testees in the video group entered the danger area; however, only half of the testees in the simulator group entered the danger area. Therefore, a trainee using a simulator can remember the work process more reliably and accurately and perform it safely. Moreover, trainees who have undergone training several times should be able to perform actual work without making operational errors or engaging in unsafe behaviors.
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基于动作捕捉的手动车床操作训练模拟器。教学功能的增加与训练效果的评估
由于虚拟现实技术的各种优点,许多训练模拟器已经被开发出来。训练具有物理运动的机器操作的系统面临着实际机器和虚拟机器之间操作感觉的差异。此外,虚拟培训在安全教育中存在问题,因为受训人员在安全的虚拟环境中可能会表现出现实中的不安全行为。为了解决这些问题,之前的研究开发了一个虚拟现实(VR)系统,使用运动捕捉系统来训练混合现实的车床操作。本研究包括一个功能,教程序和安全注意事项的直线车削操作使用车床。为了评估该系统的训练效果,进行了一个实验来比较使用视频学习。测试者被分为模拟器组和视频组,前者使用系统学习,后者使用视频材料学习。在实际车床上工作后由每位被试学习,进行评价。因此,使用该系统的测试者在实际工作中错误更少,他们试图回忆下一阶段任务的停顿时间也更短。虽然受训人数很少,但这种关系在统计上有优势。在实际工作中,视频组的所有被试都进入了危险区域;然而,在模拟器组中,只有一半的被试进入了危险区域。因此,练习者使用模拟器可以更可靠、准确地记住工作过程,并安全地执行。此外,经过多次培训的受训者应该能够进行实际工作,而不会出现操作错误或不安全行为。
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来源期刊
CiteScore
2.20
自引率
36.40%
发文量
134
期刊介绍: First published in 1989, the Journal of Robotics and Mechatronics (JRM) has the longest publication history in the world in this field, publishing a total of over 2,000 works exclusively on robotics and mechatronics from the first number. The Journal publishes academic papers, development reports, reviews, letters, notes, and discussions. The JRM is a peer-reviewed journal in fields such as robotics, mechatronics, automation, and system integration. Its editorial board includes wellestablished researchers and engineers in the field from the world over. The scope of the journal includes any and all topics on robotics and mechatronics. As a key technology in robotics and mechatronics, it includes actuator design, motion control, sensor design, sensor fusion, sensor networks, robot vision, audition, mechanism design, robot kinematics and dynamics, mobile robot, path planning, navigation, SLAM, robot hand, manipulator, nano/micro robot, humanoid, service and home robots, universal design, middleware, human-robot interaction, human interface, networked robotics, telerobotics, ubiquitous robot, learning, and intelligence. The scope also includes applications of robotics and automation, and system integrations in the fields of manufacturing, construction, underwater, space, agriculture, sustainability, energy conservation, ecology, rescue, hazardous environments, safety and security, dependability, medical, and welfare.
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