Philipp Foehn
Philipp Foehn
PhD Student in Robotics
Verified email at - Homepage
Cited by
Cited by
Fast trajectory optimization for agile quadrotor maneuvers with a cable-suspended payload
P Foehn, D Falanga, N Kuppuswamy, R Tedrake, D Scaramuzza
Robotics: Science and Systems Foundation, 2017
Beauty and the beast: Optimal methods meet learning for drone racing
E Kaufmann, M Gehrig, P Foehn, R Ranftl, A Dosovitskiy, V Koltun, ...
2019 International Conference on Robotics and Automation (ICRA), 690-696, 2019
PAMPC: Perception-aware model predictive control for quadrotors
D Falanga, P Foehn, P Lu, D Scaramuzza
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Onboard State Dependent LQR for Agile Quadrotors
P Foehn, D Scaramuzza
International Conference on Robotics and Automation, 2018
VIMO: Simultaneous visual inertial model-based odometry and force estimation
B Nisar, P Foehn, D Falanga, D Scaramuzza
IEEE Robotics and Automation Letters 4 (3), 2785-2792, 2019
AlphaPilot: Autonomous Drone Racing
P Foehn, D Brescianini, E Kaufmann, T Cieslewski, M Gehrig, M Muglikar, ...
arXiv preprint arXiv:2005.12813, 2020
CPC: Complementary Progress Constraints for Time-Optimal Quadrotor Trajectories
P Foehn, D Scaramuzza
arXiv preprint arXiv:2007.06255, 2020
Faster than FAST: GPU-Accelerated Frontend for High-Speed VIO
B Nagy, P Foehn, D Scaramuzza
arXiv preprint arXiv:2003.13493, 2020
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