• Journal of Biosystems Engineering
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• 제34권4호
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• pp.286-294
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• 2009

A high prevalence of protected horticulture farmer's work-related musculo-skeletal disorders (MSDs) have been reported in precedent studies. One of the tasks required ergonomic intervention to reduce the musculo-skeletal risks is the task of product transporting. The purpose of this study is to evaluate quantitatively the spinal load of operator using manual vehicles to predict and prevent musculo-skeletal risks. Spinal load in operators using 4 kinds of manual vehicle were analyzed. Before evaluating spinal load on operator using the manual vehicles by bio-mechanical approach, it is needed to validate human model. In this study, ADAMS LifeMOD human model shows satisfactory results, comparing with already validated model's results or measured results. While Operators pushed the manual vehicles(wheelbarrow, Trolley, 2 wheel cart, and 4 wheel cart) contained loads that were 0 N and 800 N, their spinal loads(compression force, shear force) were evaluated. The compression force demonstrated under the NIOSH action limits - 3410N - for all 4 manual vehicle's operators(McGill 1997; Marras 2000). However, the lateral shear force demonstrated over the University of Waterloo - 500N - for all 3 manual vehicle's operators except 4Wheel cart (Yingline and McGill, 1999). Therefore, operators have risks in prevalence of the musculo-skeletal disorders due to shear force. The findings of this study suggest that it need to be determine the spinal load, especially lateral shear force in designing the manual vehicles in the future.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2051-2056
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• 2003

In this paper, a tele-manipulation in explosive ordnance disposal(EOD) applications is discussed. The ROBHAZ-DT2 is developed as a teleoperated mobile manipulator for EOD. In general, it has been thought that the robot must have appropriate functions and accuracy enough to handle the complicated and dangerous mission. However, the research on the ROBHAZ-DT2 revealed that the teleoperation causes more restrictions and difficulties in EOD mission. Thus to solve the problem, a novel user interface for the ROBHAZ-DT2 is developed, in which the operator can interact with various human senses (i.e. visual, auditory and haptic sense). It enables an operator to control the ROBHAZ-DT2 simply and intuitively. A tele-manipulation control scheme for the ROBHAZ-DT2 is also proposed including compliance control via force feedback. It makes the robot adapt itself to circumstances, while the robot faithfully follows a command of the operator. This paper deals with a detailed description on the user interface and the tele-manipulation control for the ROBHAZ-DT2. An EOD demonstration is conducted to verify the validity of the proposed interface and the control scheme.

• 한국CDE학회논문집
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• 제20권4호
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• pp.420-430
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• 2015

Operator Training Simulators (OTSs) provide macroscopic training environment for plant operation. They are equipped with simulation systems for the emulation of remote monitoring and controlling operations. OTSs typically provide 2D block diagram-based graphic user interface (GUI) and connect to process simulation tools. However, process modeling for OTSs is a difficult task. Furthermore, conventional OTSs do not provide real plant field information since they are based on 2D human machine interface (HMI). In order to overcome the limitation of OTSs, we propose a new type of plant training system. This system has the capability required for collaborative training between operators and field workers. In addition, the system provides 3D virtual training environment such that field workers feel like they are in real plant site. For this, we designed system architecture and developed essential functions for the system. For the verification of the proposed system design, we implemented a prototype training system and performed experiments of collaborative training between one operator and two field workers with the prototype system.

• 대한의용생체공학회:의공학회지
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• 제29권5호
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• pp.408-413
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• 2008

Human body has a complete left and right symmetry structure, and the left and right balance by Yin and Yang. When the balance is broken, the left and right Meridian becomes abnormal condition. Acupuncture is a kind of therapy to recover from energy unbalance of the left and right Meridian to a new balance condition. In the study, we observed the electric potential along the stomach meridian (ST) in order to verify the energy consensus phenomenon by transportation of bio-energy between operator and subject during acupuncture. The acupuncture effects on opposite meridian site were investigated by comparing the electric potentials between the right and left ST sites. Meridian electrical potentials (MEPs) between operator and subject were simultaneously generated during the acupuncture and the polarity of MEPs was opposite. The results might imply the bio-energy transportation between operator and subject. In addition, we observed three different patterns of MEPs on both ST sites which might represent the condition of the related meridians because meridians in the body are organically interconnected.

• 대한인간공학회지
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• 제25권4호
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• pp.71-80
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• 2006

A construction robot has been developed for higher productivity and better safety in various construction fields. Especially, curtain wall is suitable for outer wall material of tall commercial building and apartment complexes. This heavy material is, however, hard to install with a manpower and outdated equipment. For this reason, the prototype of ASCI (Automation System for Curtain wall Installation) was developed. This system has a robot controller(i.e. hand-held remote control unit) for the transfer information signal between human operator and robot system. Although study has been conducted on manual controller of ASCI, hardly any information is known about the operator's opinion. In this study, a questionnaire was completed by operator to get their opinion about aspects which need to design a more comfortable and productive manual controller of construction machinery, robot included. Through the result of study, it is expected that this technical data is contributed to the robot controller design for comfort and productivity of various industrial machinery.

• 센서학회지
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• 제33권1호
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• pp.18-23
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• 2024

Humanoid robots, designed to interact in human environments, require stable mobility to ensure safety. When a humanoid robot falls, it causes damage, breakdown, and potential harm to the robot. Therefore, fall detection is critical to preventing the robot from falling. Prevention of falling of a humanoid robot requires an operator controlling a crane. For efficient and safe walking control experiments, a system that can replace a crane operator is needed. To replace such a crane operator, it is essential to detect the falling conditions of humanoid robots. In this study, we propose falling detection methods using Convolution Neural Network (CNN) model. The image data of a humanoid robot are collected from various angles and environments. A large amount of data is collected by dividing video data into frames per second, and data augmentation techniques are used. The effectiveness of the proposed CNN model is verified by the experiments with the humanoid robot MAX-E1.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1553-1558
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• 2003

The authors investigate influences of manipulator dynamics on and roles of kinesthetic sensation and visual sensation in a Human-Machine Cooperative System (HMCS). At first, the general structure and essential transfer functions of HMCSs are described based on the previous work. Then, after showing theoretical treatment of manipulator dynamics, this paper analyzes the influences on HMCSs in two cases: one is the control design focusing on tool dynamics and reaction force transfer function, and the other is that specifies maneuver transfer function and transfer function for object dynamics variation. In addition to conventional experiments only employing kinesthetic sensation, other experiments with both kinesthetic and visual sensations are performed to examine difference in the roles of these sensations and the validity of the design without the visual sensation.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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• pp.261-270
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• 1999

Sintering transforms powdered ore into lumped ore so that the latter can be used in a blast furnace. The powdered ore combined with coke and other materials is loaded into a container and moved along by a pallet while the ignited coke bums. The speed by which the pallet moves determines how much sintering takes place. Since the process is complicated and lacks an accurate mathematical model, human operators manually control the speed by monitoring various factors in the plant. In this paper, we propose a neural network-based pallet speed controller which copies human operator knowledge. Actual process data were collected from a sintering plant fer eight months and preprocessed to remove noisy and inconsistent data. A multilayer perceptron was trained using a back-propagation learning algorithm. In on-line testing at the sinter plant, the proposed model reliably controlled pallet speed during normal operation without the help of human operators. Moreover, the duality and productivity was as good as with human operators.

• 대한인간공학회지
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• 제16권3호
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• pp.77-87
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• 1997

This paper describes the developement of a Design Issue Management System (DIMS). Although human factors engineering has been recognized as one of the critical activities in the design of man-machine system, it has been hardly successful nor effective in practice to cope with the hyman factors requirements by regulations. For supporting the human factors engineering in nuclear power plants, DIMS ahs three major modules : Design Requirements Data Base, Design Issue Tracking System, Issue Evaluation Support System. These modules function as formal verification architects that the licensing authority requests for verifying the safety of the equip- ment and facilities in nuclear power plants. An example application to an operator support system, named Critical Function Monitoring System, during its independent review of the human factors shows the usage and the benefit of DIMS.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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• pp.261-270
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• 1999

Sintering transforms powdered ore into lumped ore so that the latter can be used in a blast furnace. The powdered or combined with coke and other materials is loaded into a container and moved along by a pallet while the ignited coke burns. The speed by which the pallet moves determines how much sintering takes place. Since the process is complicated and lacks an accurate mathematical model, human operators manually control the speed by monitoring various factors in the plant. In this paper, we propose a neural network-based pallet speed controller which copies human operator knowledge. Actual process data were collected from a sintering plant for eight months and preprocessed to remove noisy and inconsistent data. A multilayer perceptron was trained using a back-propagation learning algorithm. In on-line testing at the sinter plant, the proposed model reliably controlled pallet speed during normal operation without the help of human operators. Moreover, the quality and productivity was as good as with human operators.