142 citations · 712 across the 76 of their papers we have counts for
14 papers · 1 filter
Variational End-to-End Navigation and Localization
Alexander Amini, Guy Rosman, Sertac Karaman +1
Deep learning has revolutionized the ability to learn "end-to-end" autonomous vehicle control directly from raw sensory data. While there have been recent extensions to handle form…
The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight
Amado Antonini, Winter Guerra, Varun Murali +2
The Blackbird unmanned aerial vehicle (UAV) dataset is a large-scale, aggressive indoor flight dataset collected using a custom-built quadrotor platform for use in evaluation of ag…
Can Determinacy Minimize Age of Information?
Rajat Talak, Sertac Karaman, Eytan Modiano
Age-of-information (AoI) is a newly proposed performance metric of information freshness. It differs from the traditional delay metric, because it is destination centric and measur…
Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones
Amr Suleiman, Zhengdong Zhang, Luca Carlone +2
This paper presents Navion, an energy-efficient accelerator for visual-inertial odometry (VIO) that enables autonomous navigation of miniaturized robots (e.g., nano drones), and vi…
Accurate Tracking of Aggressive Quadrotor Trajectories using Incremental Nonlinear Dynamic Inversion and Differential Flatness
Ezra Tal, Sertac Karaman
Autonomous unmanned aerial vehicles (UAVs) that can execute aggressive (i.e., high-speed and high-acceleration) maneuvers have attracted significant attention in the past few years…
Perception-driven sparse graphs for optimal motion planning
Thomas Sayre-McCord, Sertac Karaman
Most existing motion planning algorithms assume that a map (of some quality) is fully determined prior to generating a motion plan. In many emerging applications of robotics, e.g.,…