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Quality Engineering and Management Group

Robot Assembly for non structured environments

keywords COMPUTER VISION, HUMAN-ROBOT COLLABORATION, INDUSTRY 4.0

Reference persons DARIO ANTONELLI

Research Groups Quality Engineering and Management Group

Thesis type SPERIMENTAL APPLIED

Description The thesis aims to conceive and develop industrial applications in the assembly field to exploit the potential of the image recognition and measurement system of an OMRON collaborative robot equipped with a camera on the wrist. A simple image recognition system is already present on the machine, but it can be replaced by a Machine Learning system. The work consists in developing a strategy for identifying the pieces to be assembled in the work area, approaching the piece, precise measurement of the center of gravity, manipulation of the piece for assembly purposes.

See also  mobile manipulator.jpg 

Required skills Basic Matlab programming

Notes The development of innovative industrial applications with the support of optical systems for tracking and with the possibility of adopting training procedures using neural networks lends itself to various theses that can exploit the industrial, mathematical, IT aspects, depending on the degree of origin of the graduate student.


Deadline 09/02/2025      PROPONI LA TUA CANDIDATURA