Robot Assembly for non structured environments
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 09/02/2023 PROPONI LA TUA CANDIDATURA