Demonstrators
We validate the developed control, estimation, and learning methods on challenging robotics hardware platforms in order to highlight the advantages of novel techniques, but also to determine the limitations. The various applications include autonomous racing, autonomous flying vehicles, and multi-agent robotics.
Most of the hardware has been developed in-house with the plan of making both hardware and software open-source with the scope of making our research shareable and reproducible. In particular, the Collaborative Robotic Systems (CRS) platform is meant to be a simple system to test both autonomous racing and multi-agent robotics algorithms.
Autonomous Racing
Autonomus racing is a challenging task that pushes the controller's capabilities to the limits. In these projects, we study the racing problem from different angles in order to get insights on both perfomance and safety of the controllers.
Unmanned Aerial Vehicles
Autonomous take-off and landing is a challenging application for guidance and control algorithms developed in our research. To enable rapid validation and testing of our algorithms, we developed a small-scale unmanned aerial vehicle that allows easy deployment of newly developed algorithms.
Collaborative Robotic Systems - (Hardware and Software Framework)
Collaborative Robotic Systems (CRS) is a flexible and open source hardware and software framework for simulating and testing autonomous racing and multi-agent control.
