Automated optimization of robotic tasks and transitions using graph-based approaches

In recent years, machining with robots has become a trend in the manufacturing industry. The concept offers an
economical solution for medium to low accuracy machining applications. However, due to the complexity of the robot
kinematics, planning for these paths is challenging. Jabez Technologies has developed a semi-graphical approach that
can program large robot-paths. This approach has been very well received by the industry and has proven to be
extremely robust in practice. However, this approach is semi-automatic and cannot work without user input. Emerging
applications, on the other hand, are demanding a fully automated solution. A generic automated path planner for the
large variety of machining applications in subject is simply impractical. We, therefore, propose to build a customizable
automated planner framework on top of the existing semi-graphical approach. The combination will allow the
company to provide fully-automated solution with high flexibility and confidence.

Faculty Supervisor:

Gregory Dudek

Student:

Partner:

Hypertherm Robotic Software

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program: