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

In machining applications, the robot can rotate about the tool axis without affecting machining results. This additional freedom is beneficial in the sense that it can be used to avoid robot singularities, joint limits, collisions, etc. In this project, we will investigate methods of managing this additional degree of freedom automatically. Further, between operations, the robot must transition from the end of one operation to the start of the other operation. This transition must be collision free. In this project, we wil also investigate methods to manage such transition automaticaly.

Faculty Supervisor:

Wen-Fang Xie

Student:

Partner:

Hypertherm Robotic Software

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

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