Sponsor(s)
National Science Foundation
Contributor(s)
Qinru Qiu
Remote Video
Submitted by Anonymous on September 10th, 2021
Submitted by Qinru Qiu on June 18th, 2021
Submitted by Qinru Qiu on June 9th, 2021
Submitted by Qinru Qiu on January 16th, 2020
The goal of this proposed research project is to achieve true onboard autonomy in real time for small UAVs in the absence of remote control and external navigation aids. Three major areas have been explored. In the area of UAV flight control, an automatic trajectory generation framework is developed. It consists of waypoint planning at upper level and LQR based trajectory generation in the lower level. The Deep reinforcement learning based framework reduces the control trust by more than 15% with much less computing complexity compared to state-of-the-art approaches.
Submitted by Qinru Qiu on January 22nd, 2019
Submitted by Qinru Qiu on December 4th, 2018
Sponsor(s)
National Science Foundation
Contributor(s)
Qinru Qiu
Yanzhi Wang
Senem Velipasalar
Jian Tang
Amit Sanyal
Remote Video
Submitted by Qinru Qiu on January 9th, 2018
ABSTRACT
Submitted by Qinru Qiu on November 28th, 2017