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• W2027374346 abstract "In electronic manufacturing system, the design of the robotic gripper is important for the successful accomplishment of the assembly task. Due to the restriction of the architecture of traditional robotic hands, the status of assembly parts during the assembly process cannot be effectively detected. In this research, an intelligent robotic gripper - i-Hand equipped with multiple small sensors is designed and built for this purpose, getting the essential parameters for some specific mathematical model. Mating connectors by robot, as an experimental case in this paper, is studied to evaluate the performance of i-Hand. A simple new model is proposed to describe the process of mating connectors, within which the distance between the connector and deformable Printed Circuit Board (PCB) is detected by i-Hand. An online Fault Detection and Diagnosis (FDD) algorithm is proposed. Various possible situations during assembly are considered and handled according to an event driven work flow. The effectiveness of proposed model and algorithm is proved by the experiments." @default.
• W2027374346 created "2016-06-24" @default.
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• W2027374346 date "2012-05-01" @default.
• W2027374346 modified "2023-09-22" @default.
• W2027374346 title "i-Hand: An intelligent robotic hand for fast and accurate assembly in electronic manufacturing" @default.
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• W2027374346 doi "https://doi.org/10.1109/icra.2012.6225240" @default.
• W2027374346 hasPublicationYear "2012" @default.
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