Collaborative Multi-Robot Aerial Autonomous Navigation and 3D Reconstruction

Collaborative Multi-Robot Aerial Autonomous Navigation and 3D Reconstruction


Interested in collaborative multi-robot perception? Contact us!

Numerous algorithms to implement and examine on real robots (quadortors), so much to learn - are you up for the challenge?

  • Pose estimation and 3D reconstruction
  • Collaborative RGBD sensing
  • Autonomous navigation in unknown environments
  • Online decision making under uncertainty

drawing

Prerequisites:

  • Strong programming skills (preferably Python or C++). Background in (deep) reinforcement learning, computer vision, robotics is an advantage.

Academic supervisor:

  • Prof. Vadim Indelman mail

Duration: 1 or 2 semesters