http://mrs.felk.cvut.cz/mbzirc2020
A MRS open-source research UAV platform was used for experiments presented in this video. See
http://mrs.felk.cvut.cz/system for details and source code of the MRS UAV platform, which enables all essential capabilities for research, development, and testing of novel methods. For publications describing the applied system and control stack, see
- Tomas Baca, Matej Petrlik, Matous Vrba, Vojtech Spurny, Robert Penicka, Daniel Hert and Martin Saska. The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles. Journal of Intelligent & Robotic Systems 102(26):1–28, May 2021.
https://www.researchgate.net/publication/343735155_The_MRS_UAV_System_Pushing_the_Frontiers_of_Reproducible_Research_Real-world_Deployment_and_Education_with_Autonomous_Unmanned_Aerial_Vehicles
- T Baca, D Hert, G Loianno, M Saska and V Kumar. Model Predictive Trajectory Tracking and Collision Avoidance for Reliable Outdoor Deployment of Unmanned Aerial Vehicles. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2018, 1–8.
https://ieeexplore.ieee.org/document/8594266
This work was accomplished by the MRS group at CTU in Prague
http://mrs.felk.cvut.cz . For more experiments with the MRS UAV research platforms, see
http://mrs.felk.cvut.cz/publications.