no code implementations • 18 Mar 2024 • Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza
Our experiments in both simulated and real-world environments demonstrate that our approach achieves superior performance and robustness than IL or RL alone in navigating a quadrotor through a racing course using only visual information without explicit state estimation.
no code implementations • 18 Sep 2023 • Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
The utility of a robot greatly depends on its ability to perform a task in the real world, outside of a well-controlled lab environment.
no code implementations • 6 Oct 2021 • Boyang Sun, Jiaxu Xing, Hermann Blum, Roland Siegwart, Cesar Cadena
The proposed framework infers task failures by evaluating the individual prediction, across multiple visual perception tasks for different regions in an image.