An Intelligent Robotic System for Cabinet Assembly

In cabinet production, board cutting and cabinet manufacturing need workers to manually operate machines and assembly. The proposed research project will simulate the real-time process of automatic board cutting and manufacture, assembly automatically with the help of various sensors and camara vision. The integration of artificial intelligence and machine learning algorithms enables intelligent decision-making and adaptive robot behavior for the cabinet assembly. The proposed project on intelligent robotic systems for cabinet assembly includes tasks from putting raw material to completing products by self-control machines and intelligent robotic production line.

Faculty Supervisor:

Simon Yang

Student:

Partner:

51 Wood Ltd.

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Guelph

Program:

Accelerate

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