Flying through a narrow gap using neural network: an end-to-end planning
and control approach

Flying through a narrow gap using neural network: an end-to-end planning and control approach

21 March 2019

Fei Gao

Shaojie Shen

Fu Zhang

Papers citing "Flying through a narrow gap using neural network: an end-to-end planning and control approach"

6 / 6 papers shown

Title
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning Ruihua Han Shuai Wang Shuaijun Wang Zeqing Zhang Jianjun Chen ... Chengyang Li Chengzhong Xu Yonina C. Eldar Qi Hao Jia Pan 3DPC 51 2 0 11 Mar 2024
Learning Agile Flights through Narrow Gaps with Varying Angles using Onboard Sensing Yuhan Xie M. Lu Rui Peng Peng-Chen Lu 33 9 0 22 Feb 2023
Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors Yixiao Wang Bingheng Wang Shenning Zhang Han Wei Sia Lin Zhao 39 4 0 22 Sep 2022
Online Whole-body Motion Planning for Quadrotor using Multi-resolution Search Yunfan Ren Siqi Liang Fangcheng Zhu Guozheng Lu Fu Zhang 42 18 0 14 Sep 2022
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 44 37 0 19 Mar 2020
AirSim Drone Racing Lab Ratnesh Madaan N. Gyde Sai H. Vemprala Matthew Brown Keiko Nagami Tim Taubner E. Cristofalo Davide Scaramuzza Mac Schwager Ashish Kapoor 19 74 0 12 Mar 2020