A step-by-step guide to Industrial Robot Programming for Beginners (using FANUC)
Aromire, Solomon (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025062023386
https://urn.fi/URN:NBN:fi:amk-2025062023386
Tiivistelmä
This thesis was centered around the application of FANUC robots in industrial automation, such as tasks involving material handling and assembly lines, with the objective of serving as a guide for future students to understand and further improve the use of these robots in automation. More emphasis has been given to the practical ways of programming, implementation, and optimization of performance.
A mixed-method approach was applied, wherein both quantitative experiments and qualitative interviews were conducted to assess efficiency, speed, accuracy, error rate, and energy consumption of robots, together with user experiences and insights. The quantitative results indicated that the robots could work highly efficiently at higher speeds, with high power consumption. It also showed that the accuracy of the operation was consistent under varying load conditions, hence recommended for operations where fine tuning is required.
The error rate analysis indicated that the expertise of operators greatly influences performance and the need for training. Qualitative analysis revealed recurring themes: ease of programming, system integration issues, and the use of hands-on experience. These findings give reason to both the potential in general of FANUC robots for industrial applications and point toward areas of improvement in training and user support.
A mixed-method approach was applied, wherein both quantitative experiments and qualitative interviews were conducted to assess efficiency, speed, accuracy, error rate, and energy consumption of robots, together with user experiences and insights. The quantitative results indicated that the robots could work highly efficiently at higher speeds, with high power consumption. It also showed that the accuracy of the operation was consistent under varying load conditions, hence recommended for operations where fine tuning is required.
The error rate analysis indicated that the expertise of operators greatly influences performance and the need for training. Qualitative analysis revealed recurring themes: ease of programming, system integration issues, and the use of hands-on experience. These findings give reason to both the potential in general of FANUC robots for industrial applications and point toward areas of improvement in training and user support.