Prospective students

Our lab (FAST) is continuously recruiting students (UG, PG) who:

  • love robots and autonomous systems (so you can have fun in daily research)
  • hardworking, or top smart (at least you should have one)
  • don’t mind dirty hands (sometimes you have to deal with hardware)

PS. I prefer students who have solid mathematical or coding skills.

If you’re interested in joining us, please send your cv and a brief statement to me via fgaoaa@zju.edu.cn


8/12/2020 – We introduce our recent works on quadrotor motion planning, they are:

Ego-Planner: Planning aggressive and safe quadrotor trajectories without an ESDF. [pdf]

TGK-Planner: Generating long dynamical feasible trajectories by smart kinodynamic sampling and planning. [pdf]

CMPCC: Bridging the planner and controller with a low-level MPC to trade-off the robustness and tracking accuracy. [pdf]

AM-Traj: Solving for near-optimal space-time polynomial trajectories. [pdf]

Please check the videos and papers accordingly.

5/4/2020 – Our paper: Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments has been accepted by IEEE Transactions on Robotics (T-RO).

1/3/2020 – We release the source code of our paper: Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight, which is a powerful tool for generating large-scale piecewise polynomial trajectories for aggressive autonomous flights, with superior computational efficiency. This method is capable of computing a spatial-temporal optimal trajectory with 60 pieces within 5ms, i.e., 150Hz at least.

Check the code here.