Learning Real-Time Dynamic Responsive Gap-Traversing Policy for Quadrotors With Safety-Aware Exploration-Reference-Cited by-同舟云学术

Learning Real-Time Dynamic Responsive Gap-Traversing Policy for Quadrotors With Safety-Aware Exploration

Published:2023-03 Issue:3 Volume:8 Page:2271-2284
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Chen Shiyu¹^ORCID,Li Yanjie¹^ORCID,Lou Yunjiang¹^ORCID,Lin Ke¹,Wu Xinyu²^ORCID

Affiliation:

1. Department of Control Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China

2. Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Shenzhen Basic Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/10109992/09991071.pdf?arnumber=9991071

Reference39 articles.

1. Estimation, Control, and Planning for Aggressive Flight With a Small Quadrotor With a Single Camera and IMU

2. Proximal policy optimization algorithms;schulman,2017

3. Aggressive quadrotor flight through narrow gaps with onboard sensing and computing using active vision

4. Why tanh: choosing a sigmoidal function

5. Fast-Racing: An Open-Source Strong Baseline for $\mathrm{SE}(3)$ Planning in Autonomous Drone Racing

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning Agile Flights Through Narrow Gaps with Varying Angles Using Onboard Sensing;IEEE Robotics and Automation Letters;2023-09

2. Online Deep Learning Control of an Autonomous Surface Vehicle Using Learned Dynamics;IEEE Transactions on Intelligent Vehicles;2023

3. Convex Optimization-Based Trajectory Planning for Quadrotors Landing on Aerial Vehicle Carriers;IEEE Transactions on Intelligent Vehicles;2023