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 extremely prefer students with experience in cutting-edge robotics design, competition, or research. Solid mathematical background and coding skills are also highly regarded here.

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


1/3/2020 – We release the source code of the Alternating Minimization Based Trajectory Generation, 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.