Obstacle Avoidance for Aerial Robots

Obstacle Avoidance for Aerial Robots (MSc, 2014)

Student: Nicolas Velásquez
Supervisors: Alexander Förster and Juxi Leitner
This master thesis tries to provide a robust method to do obstacle avoidance for an air-drone, using only on-board computational power. It heavily relies on previous work on SLAM systems based on Extended Kalman Filter that use data from a monocular camera. This method is able to estimate the 3d position of the drone and a small number of features. The features are used to build a surface that represents the depth map of what lies in front of the drone. Knowing the distance of the objects with respect to the drone, a virtual force field is used to prevent the collision.

Videos will be put up here shortly!



Drone Piloting Study

Drone Piloting Study (BSc, 2014)

Student: Christine Graff
Supervisors: Alexander Förster and Juxi Leitner
A usability study to explore the naturalness and effectivity of piloting an aerial robot (drone), using a variety of recently available input devices. These devices, mainly designed for 3D graphics and games, such as the LEAP motion sensor and 3d mice, were used to fly the drone through a parcours to investigate the question: Can we draw parallels between gaming and 3d interfaces and controlling a robot in the real (3D) world?

Videos will be put up here shortly!


Student: Margarita Grinvald
Supervisors: Alexander Förster and Gilles Caprari
Towards autonomous navigation of a Wheelphone robot
Video: https://www.youtube.com/watch?v=grzzp1jFo3Y

iWheel Study

iWheel (BSc, 2014)


Possible Student Research Projects at the IDSIA Robotics Lab

Click here!