4 papers indexed
Giovanni Cioffi, Davide Scaramuzza
Visual SLAM is a well-established technology utilized in a wide range of real-world applications. However, its performance still degrades under challenging visual conditions, such as low texture, severe motion blur, and poor illumination. Systems based on deep learning outperform…
Yifan Zhai, Elia Raimondi, Yunfan Ren, Ismail Geles, Yannick Armati, Jiaxu Xing, et al.
Quadrotors offer the agility needed to rapidly transport suspended payloads during time-critical applications, including search-and-rescue and medical delivery. While suspended-payload transport and traversal for these missions are well studied, the highly dynamic targeted releas…
Jiaxu Xing, Zhiyuan Zhu, Yunfan Ren, Ismail Geles, Yifan Zhai, Rudolf Reiter, et al.
Robots deployed in the real world rarely operate under a single fixed dynamics model: wind changes, payloads vary, batteries drain, contacts shift, and hardware wears. Yet most learning-based controllers are trained once and deployed as if learning were complete. This prevents th…
Jonathan Green, Jiaxu Xing, Nico Messikommer, Angel Romero, Davide Scaramuzza
Autonomous drone racing is a fundamentally challenging regime for autonomous aerial robots, requiring time-optimal control while operating under persistent actuation saturation. While reinforcement learning (RL) has achieved human-level performance in this domain, current methods…