12 research outputs found
An investigation of the feasibility of using an expert system for assessing surface flatness with a coordinate measuring machine
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The Operational, Economic and Environmental Benefits of Returnable Packaging Under Various Reverse Logistics Arrangements
No full textA conceptual framework of decentralized learning neural network control approach for multi-robot cooperation in an object balancing task
No full textDecentralized control with neural network of cooperative robot manipulator for object balancing task on flat plate
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The mediating effect of knowledge-sharing behaviour on total quality management and organisational innovation capability
No full textThe mediating role of innovative work behavior on the relationship between knowledge sharing behavior and innovation capability in Thailand private university
No full textVariation minimization in tele-sandblasting system: the effect of human-arm movement error
Get PDFIn 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
Variation minimization in tele-sandblasting system: the effect of human-arm movement error
No full textIn 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
