Learning Agile, Vision-Based Drone Flight: From Simulation to Reality

被引：1
|
作者：
Scaramuzza, Davide [1 ]
Kaufmann, Elia [1 ]
机构：
[1] Univ Zurich, Zurich, Switzerland
来源：
ROBOTICS RESEARCH, ISRR 2022 | 2023年 / 27卷
基金：
欧洲研究理事会; 瑞士国家科学基金会;
关键词：
D O I：
10.1007/978-3-031-25555-7_2
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
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.
引用
收藏
页码：11 / 18
页数：8
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