Benoit Landry

Research Scientist @ 

I am currently a researcher working with Vladlen Koltun at Apple.

In 2021, I received a PhD in Aeronautics & Astronautics from Stanford University where I studied under the guidance of Professor Marco Pavone. My research leveraged machine learning, optimization and control theory to address planning and control problems in robotics.

In 2015, I received a Bachelor of Science and a Master of Engineering in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. At MIT, I conducted research under the supervision of Professor Russ Tedrake.

Over my time as a researcher, I had the privilege of becoming a Siebel Scholar, and receive the Stanford Robotics Center Fellowship supported by FANUC. I cofounded the Stanford Robotics Seminar, and helped design and teach the first two instances of Principles of Robotic Autonomy.

news

Nov 1, 2021 I joined Apple.
Jun 14, 2021 I graduated Stanford.

selected publications

  1. ICRA
    Aggressive quadrotor flight through cluttered environments using mixed integer programming
    Landry, B., Deits, Robin, Florence, Peter R, and Tedrake, Russ
    In 2016 IEEE international conference on robotics and automation (ICRA) 2016
  2. SIGCHI
    Beyond The Force: Using Quadcopters to Appropriate Objects and the Environment for Haptics in Virtual Reality
    Abtahi, P., Landry, B., Yang, J. J., Pavone, M., Follmer, S., and Landay, J. A.
    In ACM CHI Conf. on Human Factors in Computing Systems May 2019
  3. RSS
    A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization
    Landry, B., Manchester, Z., and Pavone, M.
    In Robotics: Science and Systems Jun 2019
  4. ISRR
    Bilevel Optimization for Planning through Contact: A Semidirect Method
    Landry, B., Lorenzetti, J., Manchester, Z., and Pavone, M.
    In Int. Symp. on Robotics Research Oct 2019
  5. RSS
    Lyapunov-Stable Neural-Network Control
    Dai, H., Landry, B., Yang, L., Pavone, M., and Tedrake, R.
    In Robotics: Science and Systems Jul 2021