Random bin picking with industrial robot

Materials with different sizes, shapes, or materials come into the process every day, they need to be sorted, placed, and usually fed into a machine for processing. Traditionally, this task is very hard to be automated because of the non-fixed position of the part and frequent part changes. For this random bin picking project, we are targeting to build a solution that can pick and place the part from a box with the aid of the latest computer vision technologies. We will be looking into find ways to create a model for any random part, match the part in the clustered point cloud, and retrieve the part’s precise location in the 3D spaces.

Faculty Supervisor:

Jiannan Wang

Student:

Partner:

DaoAI Robotics Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

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