Abstract
The concept of smart factory is being applied into traditional manufacturing system. Since factory automation is applied gradationally, Human-robot collaboration (HRC) system is becoming an important issue. In order to construct an effective HRC system, clear communication with the human workers and the robots has to be considered. This research proposed a conceptual framework of process model based HRC system for efficient human-robot collaboration in a semi automation process to produce electric motors. We applied a process modeling methodology for capturing collaborative features, activity and resource flow in the manufacturing process. The model defined by the proposed methodology is the data storage to contain process information and interface between the human workers and robots to provide accurate information in the appropriate context. Furthermore, machine vision technology is implemented to recognize specifications of work in process (WIP) parts. The recognized parts are mapped with the correct work order and work instruction manual defined by the proposed model. In order to reduce human worker’s errors, the extracted work information is transmitted to the worker through the augmented reality device. The proposed HRC system is expected to be able to support the construction of a semi automation system that can reduce errors of human workers and ensure production flexibility.
Highlights
This research proposed a conceptual framework of human-robot collaboration (HRC) system for semi-automated process to produce electric motors
The robot picks up the parts from each automated machine and locates on the pallets, transfers the partial processed parts to the assembly section which performed by a human worker
When image processing through machine vision is completed, accurate work order and part information corresponding to the extracted image should be defined
Summary
This research proposed a conceptual framework of human-robot collaboration (HRC) system for semi-automated process to produce electric motors. This process consists of automated machines, a handling robot, and a human worker. The robot picks up the parts from each automated machine and locates on the pallets, transfers the partial processed parts to the assembly section which performed by a human worker. Human worker does not receive information of the type of parts that are picked up by the robot in advanced, i.e. before the part arrives at assembly section, especially when changeover of part model. When image processing through machine vision is completed, accurate work order and part information corresponding to the extracted image should be defined. This study proposes a conceptual framework of HCR system using a process model and AR interface
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