65 citations · 180 across the 5 of their papers we have counts for
4 papers · 1 filter
Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors
Stefan Stevsic, Tobias Naegeli, Javier Alonso-Mora +1
In this paper we propose an algorithm for the training of neural network control policies for quadrotors. The learned control policy computes control commands directly from sensor…
Optimizing for Aesthetically Pleasing Quadrotor Camera Motion
Christoph Gebhardt, Stefan Stevsic, Otmar Hilliges
In this paper we first contribute a large scale online study (N=400) to better understand aesthetic perception of aerial video. The results indicate that it is paramount to optimiz…
Airways: Optimization-Based Planning of Quadrotor Trajectories according to High-Level User Goals
Christoph Gebhardt, Benjamin Hepp, Tobias Naegeli +2
In this paper we propose a computational design tool that al-lows end-users to create advanced quadrotor trajectories witha variety of application scenarios in mind. Our algorithm…
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction
Sammy Christen, Stefan Stevsic, Otmar Hilliges
In this paper, we propose a method for training control policies for human-robot interactions such as handshakes or hand claps via Deep Reinforcement Learning. The policy controls…