Robotic Boats for Environmental Monitoring and Infrastructure Inspektion
Work in the projects RoBiMo (Robotisches Binnengewässermonitoring) and AIRGEMM (Artificial Intelligence and Robotics for GeoEnvironmental Modelling and Monitoring)
No-Code Programming of Collaborative Robots by Imitation Learning
Joint work with Arizona State University.
Best Video Award at IEEE-RAS HUMANOIDS-2016 conference.
Virtualization of Underground Mines with Autonomous Robots
Research in the Mining-RoX project
Converting Depth Images and Point Clouds for Feature-based Pose Estimation
Common feature detection methods such as SIFT, SURF, ORB etc. do not work well when applied directly to depth images. We propose a simple conversion from depth images to so-called flexion images to make depth images amenable to these widely used feature detectors (and therefore pose estimation, SLAM, etc).
Code on Github: https://github.com/rlsch/depth-flexion-conversion
High Performance Virtual Prototyping for Molten Metal Filtration
Work in the interdisciplinary Collaborative Research Centre 920: Multifunctional Filters for Molten Metal Filtration
Autonomous Robot Navigation in Underground Environments
The robot Julius navigates in the Research Mine "Reiche Zeche" with some sections being in total darkness.
Work in Mining-Rox Projekt.
360°-Video of an Autonomous Robot Navigating an Underground Mine
Robot Alexander autonomously makes a round on the educational trail of the TU Bergakademie Freiberg's research and educational mine. In the video, you can look around in all directions using mouse interaction.
Work in Mining-Rox Projekt.