GE Robotics and Autonomous Systems

Manufacturing robotics: This team will work with GE research to develop innovative technologies to improve the scalability, flexibility, and agility of manufacturing automation platform with robotic operations.



The project will investigate an artificial intelligence (AI), specifically reinforcement learning (RL), enabled tool and framework, to reduce the unnecessary time spent on manual programming, tweaking, and validating the robot tool path for manufacturing.

Specific project tasks are as follows:

  • Conduct a literature study on state-of-the-art research, commercially available technologies and products on robotic manipulator tool path generation automation.
  • Get started and follow tutorials with the following enabling technologies:
  • Develop a simulation robotic environment with reinforcement learning for motion planning. The expected outcome of this task is to develop a software pipeline to explore RL for motion planning, with all or a subset of the above enabling technologies. With the pipeline, it should have the following functions: (1) robot motions can be generated on demand and used as training inputs to the reinforcement learning model; (2) the RL model/algorithm can be trained; and (3) the trained RL model can be used to take inputs to generate robot motions based on the predefined environment. Here are some example projects found online:

Relevant Technologies:

  • Robotics
  • Artificial Intelligence
  • Manufacturing

Prerequisite Knowledge/Skills:

  • Background of ROS and machine learning would be plus.

Meeting time: