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. 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:

Wen-Fang Xie

Student:

Partner:

Hypertherm Robotic Software

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program: