We present our latest research in learning deep sensorimotor policies for agile, vision-based quadrotor flight. We show methodologies for the successful transfer of such policies from simulation to the real world. In addition, we discuss the open research questions that still need to be answered to improve the agility and robustness of autonomous drones toward human-pilot performance.

翻译：我们介绍了在深度感知运动策略学习方面用于敏捷、基于视觉的四旋翼飞行的最新研究。我们展示了成功将此类策略从仿真迁移到现实世界的方法。此外，我们还讨论了为提高自主无人机的敏捷性和鲁棒性以接近人类飞行员表现而仍需回答的开放研究问题。