Displaying publications 81 - 85 of 85 in total

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  1. Rafizah Musa, Mohamad Syazli Fathib
    MyJurnal
    Industries in Malaysia are entering a period of major disruption caused by new technologies such as Artificial Intelligent, Robotics, Blockchain, Nanotechnology as well as Building Information Modelling (BIM) and the Internet of Things (IoT). In this fourth industrial revolution where information is generated and exchanged at a rapid and huge scale, its reliability is of paramount importance. The success of Occupational Safety & Health Management System (OSHMS) is highly dependent on the reliability of the information gathered and used, where a large number of intermediaries authenticate the information to establish trust between the stakeholders. Blockchain technology is able to do verification by virtue of secured distributed storage brings about a paradigm shift in the way we establish trust. This paper gives an overview of the potential use of Blockchain technology for Occupational Safety & Health Management System. The discussions focused on the benefits and challenges of implementing the Blockchain technology in OSHMS. The conclusion is drawn based on the strength in the characteristics provided by the Blockchain technology itself.
    Matched MeSH terms: Robotics
  2. Abdul Rahman H, Khor KX, Yeong CF, Su EL, Narayanan AL
    Biomed Mater Eng, 2017;28(2):105-116.
    PMID: 28372264 DOI: 10.3233/BME-171660
    BACKGROUND: Clinical scales such as Fugl-Meyer Assessment (FMA) and Motor Assessment Scale (MAS) are widely used to evaluate stroke patient's motor performance. However, there are several limitations with these assessment scales such as subjectivity, lack of repeatability, time-consuming and highly depend on the ability of the physiotherapy. In contrast, robot-based assessments are objective, repeatable, and could potentially reduce the assessment time. However, robot-based assessments are not as well established as conventional assessment scale and the correlation to conventional assessment scale is unclear.

    OBJECTIVE: This study was carried out to identify important parameters in designing tasks that efficiently assess hand function of stroke patients and to quantify potential benefits of robotic assessment modules to predict the conventional assessment score with iRest.

    METHODS: Twelve predictive variables were explored, relating to movement time, velocity, strategy, accuracy and smoothness from three robotic assessment modules which are Draw I, Draw Diamond and Draw Circle. Regression models using up to four predictors were developed to describe the MAS.

    RESULTS: Results show that the time given should be not too long and it would affect the trajectory error. Besides, result also shows that it is possible to use iRest in predicting MAS score.

    CONCLUSION: There is a potential of using iRest, a non-motorized device in predicting MAS score.

    Matched MeSH terms: Robotics/instrumentation*
  3. Pahl C, Ebelt H, Sayahkarajy M, Supriyanto E, Soesanto A
    J Med Syst, 2017 Aug 15;41(10):148.
    PMID: 28812247 DOI: 10.1007/s10916-017-0786-4
    This paper proposes a robotic Transesophageal Echocardiography (TOE) system concept for Catheterization Laboratories. Cardiovascular disease causes one third of all global mortality. TOE is utilized to assess cardiovascular structures and monitor cardiac function during diagnostic procedures and catheter-based structural interventions. However, the operation of TOE underlies various conditions that may cause a negative impact on performance, the health of the cardiac sonographer and patient safety. These factors have been conflated and evince the potential of robot-assisted TOE. Hence, a careful integration of clinical experience and Systems Engineering methods was used to develop a concept and physical model for TOE manipulation. The motion of different actuators of the fabricated motorized system has been tested. It is concluded that the developed medical system, counteracting conflated disadvantages, represents a progressive approach for cardiac healthcare.
    Matched MeSH terms: Robotics
  4. Pai YS, Yap HJ, Md Dawal SZ, Ramesh S, Phoon SY
    Sci Rep, 2016 06 07;6:27380.
    PMID: 27271840 DOI: 10.1038/srep27380
    This study presents a modular-based implementation of augmented reality to provide an immersive experience in learning or teaching the planning phase, control system, and machining parameters of a fully automated work cell. The architecture of the system consists of three code modules that can operate independently or combined to create a complete system that is able to guide engineers from the layout planning phase to the prototyping of the final product. The layout planning module determines the best possible arrangement in a layout for the placement of various machines, in this case a conveyor belt for transportation, a robot arm for pick-and-place operations, and a computer numerical control milling machine to generate the final prototype. The robotic arm module simulates the pick-and-place operation offline from the conveyor belt to a computer numerical control (CNC) machine utilising collision detection and inverse kinematics. Finally, the CNC module performs virtual machining based on the Uniform Space Decomposition method and axis aligned bounding box collision detection. The conducted case study revealed that given the situation, a semi-circle shaped arrangement is desirable, whereas the pick-and-place system and the final generated G-code produced the highest deviation of 3.83 mm and 5.8 mm respectively.
    Matched MeSH terms: Robotics
  5. Yap HJ, Taha Z, Dawal SZ, Chang SW
    PLoS One, 2014;9(10):e109692.
    PMID: 25360663 DOI: 10.1371/journal.pone.0109692
    Traditional robotic work cell design and programming are considered inefficient and outdated in current industrial and market demands. In this research, virtual reality (VR) technology is used to improve human-robot interface, whereby complicated commands or programming knowledge is not required. The proposed solution, known as VR-based Programming of a Robotic Work Cell (VR-Rocell), consists of two sub-programmes, which are VR-Robotic Work Cell Layout (VR-RoWL) and VR-based Robot Teaching System (VR-RoT). VR-RoWL is developed to assign the layout design for an industrial robotic work cell, whereby VR-RoT is developed to overcome safety issues and lack of trained personnel in robot programming. Simple and user-friendly interfaces are designed for inexperienced users to generate robot commands without damaging the robot or interrupting the production line. The user is able to attempt numerous times to attain an optimum solution. A case study is conducted in the Robotics Laboratory to assemble an electronics casing and it is found that the output models are compatible with commercial software without loss of information. Furthermore, the generated KUKA commands are workable when loaded into a commercial simulator. The operation of the actual robotic work cell shows that the errors may be due to the dynamics of the KUKA robot rather than the accuracy of the generated programme. Therefore, it is concluded that the virtual reality based solution approach can be implemented in an industrial robotic work cell.
    Matched MeSH terms: Robotics/methods*
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