65 citations · 180 across the 5 of their papers we have counts for
7 papers
Drone-based Volume Estimation in Indoor Environments
Samuel Balula, Dominic Liao-McPherson, Stefan Stevšić +2
Volume estimation in large indoor spaces is an important challenge in robotic inspection of industrial warehouses. We propose an approach for volume estimation for autonomous syste…
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation
Nikola Vulin, Sammy Christen, Stefan Stevsic +1
In this paper we address the challenge of exploration in deep reinforcement learning for robotic manipulation tasks. In sparse goal settings, an agent does not receive any positive…
Spatial Attention Improves Iterative 6D Object Pose Estimation
Stefan Stevsic, Otmar Hilliges
The task of estimating the 6D pose of an object from RGB images can be broken down into two main steps: an initial pose estimation step, followed by a refinement procedure to corre…
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…