Type: Bachelor thesis, Master thesis, Student Project, Seminar

Persons: 1-2

 

Objective:

Developing a Reinforcement Learning algorithm for optimal positioning of a mobile robot, which is hovering around immersed users in a walkable VR brings new challenges including:

  • Keeping a safe distance from the users to minimize collision probability
  • Positioning as reachable as possible for providing haptic props to users with minimum delay

 

Tasks (Sub-topics):

  • Research Task: Conduct an extensive exploration, analysis, and documentation of the current state-of-the-art and related works.
  • Development Task: Design and implementation of a structured code including data acquisition from ROS/Unity, implementation of a sample RL framework, and evaluation of the results.

Requirements for development task:

  • Basic Knowledge of programming with Python/C++
  • Basic knowledge of Ubuntu and Linux command line
  • Previous experience with Robot Operating System (ROS)/Unity3D is a plus

Responsible:

For more information please contact Mohammad Ghazanfari, Soroosh Mortezapoor