Design of Deep Neural Networks as Add-on Blocks for Improving Impromptu Trajectory Tracking

31 May 2017

Papers citing "Design of Deep Neural Networks as Add-on Blocks for Improving Impromptu Trajectory Tracking"

7 / 7 papers shown

Title
Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors Boyuan Deng Jian Sun Zhuo Li G. Wang 42 0 0 13 Feb 2023
Gaussian Processes Model-based Control of Underactuated Balance Robots Kuo Chen J. Yi Dezhen Song 18 19 0 29 Oct 2020
To Share or Not to Share? Performance Guarantees and the Asymmetric Nature of Cross-Robot Experience Transfer Michael J. Sorocky Siqi Zhou Angela P. Schoellig 31 6 0 29 Jun 2020
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization Sumeet Singh Spencer M. Richards Vikas Sindhwani Jean-Jacques E. Slotine Marco Pavone 40 74 0 29 Jul 2019
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking Siqi Zhou Andriy Sarabakha Erdal Kayacan M. Helwa Angela P. Schoellig 41 13 0 30 Mar 2019
Neural Lander: Stable Drone Landing Control using Learned Dynamics Guanya Shi Xichen Shi Michael O'Connell Rose Yu Kamyar Azizzadenesheli Anima Anandkumar Yisong Yue Soon-Jo Chung 29 272 0 19 Nov 2018
Deep Neural Networks for Improved, Impromptu Trajectory Tracking of Quadrotors Qiyang Li Jingxing Qian Zining Zhu Xuchan Bao M. Helwa Angela P. Schoellig 38 73 0 20 Oct 2016