142 citations · 418 across the 24 of their papers we have counts for
4 papers · 1 filter
User-Conditioned Neural Control Policies for Mobile Robotics
Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza
Recently, learning-based controllers have been shown to push mobile robotic systems to their limits and provide the robustness needed for many real-world applications. However, onl…
Cracking Double-Blind Review: Authorship Attribution with Deep Learning
Leonard Bauersfeld, Angel Romero, Manasi Muglikar +1
Double-blind peer review is considered a pillar of academic research because it is perceived to ensure a fair, unbiased, and fact-centered scientific discussion. Yet, experienced r…
Learned Inertial Odometry for Autonomous Drone Racing
Giovanni Cioffi, Leonard Bauersfeld, Elia Kaufmann +1
Inertial odometry is an attractive solution to the problem of state estimation for agile quadrotor flight. It is inexpensive, lightweight, and it is not affected by perceptual degr…
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight
Elia Kaufmann, Leonard Bauersfeld, Davide Scaramuzza
Quadrotors are highly nonlinear dynamical systems that require carefully tuned controllers to be pushed to their physical limits. Recently, learning-based control policies have bee…