User-Conditioned Neural Control Policies for Mobile Robotics
Leonard Bauersfeld,Elia Kaufmann,Davide Scaramuzza,Leonard Bauersfeld,Elia Kaufmann,Davide Scaramuzza
Recently, learning-based controllers have been shown to push mobile robotic systems to their limits and provide the robustness needed for many real-world applications. However, only classical optimization-based control frameworks offer the inherent flexibility to be dynamically adjusted during execution by, for example, setting target speeds or actuator limits. We present a framework to overcome t...
