About me

I am currently pursuing a PhD in Aeronautics & Astronautics at Stanford University as part of the Autonomous Systems Laboratory under the guidance of Professor Marco Pavone. Generally speaking, my research here attempts to leverage computational breakthroughs (e.g. autodiff [1], modern solvers [2], GPU’s [3]) to address the problems of planning and control for complex robotic systems. I am particularly interested in aerial robotics and systems that make and break contact with their environments.

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 (minoring in Science, Technology and Society). At MIT, I conducted research on planning and control for small aerial vehicles under the supervision of Professor Russ Tedrake [4]. I was later responsible for control systems development at 3D Robotics.

In 2017, I cofounded the Stanford Robotics Seminar. I also proudly TA’ed the first two instances of Principles of Robotic Autonomy.

Publications

  1. Landry, B., Lorenzetti, J., Manchester, Z., & Pavone, M. (2019). Bilevel Optimization for Planning through Contact: A Semidirect Method. Int. Symp. on Robotics Research.
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  2. Landry, B., Manchester, Z., & Pavone, M. (2019). A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization. Robotics: Science and Systems.
    pdf - video
  3. Singh, S., Landry, B., Majumdar, A., Slotine, J.-J. E., & Pavone, M. (2019). Robust Feedback Motion Planning via Contraction Theory. Int. Journal of Robotics Research.
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  4. Abtahi, P., Landry, B., Yang, J. J., Pavone, M., Follmer, S., & Landay, J. A. (2019). Beyond The Force: Using Quadcopters to Appropriate Objects and the Environment for Haptics in Virtual Reality. ACM CHI Conf. on Human Factors in Computing Systems.
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  5. Lorenzetti, J., Landry, B., Singh, S., & Pavone, M. (2019). Reduced Order Model Predictive Control For Setpoint Tracking. European Control Conference.
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  6. Ichter, B., Landry, B., Schmerling, E., & Pavone, M. (2017). Perception-Aware Motion Planning via Multiobjective Search on GPUs. Int. Symp. on Robotics Research.
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  7. Lorenzetti, J., Chen, M., Landry, B., & Pavone, M. (2018). Reach-Avoid Games Via Mixed-Integer Second-Order Cone Programming. Proc. IEEE Conf. on Decision and Control.
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  8. Landry, B., Chen, M., Hemley, S., & Pavone, M. (2018). Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming. IEEE/RSJ Int. Conf. on Intelligent Robots & Systems.
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  9. Landry, B., Deits, R., Florence, P. R., & Tedrake, R. (2016). Aggressive quadrotor flight through cluttered environments using mixed integer programming. 2016 IEEE International Conference on Robotics and Automation (ICRA), 1469–1475.
    pdf - video
  10. Landry, B. (2015). Planning and control for quadrotor flight through cluttered environments [PhD thesis]. Massachusetts Institute of Technology.
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