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

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

31 May 2017

Angela P. Schoellig

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

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Title
Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors Boyuan Deng Jian Sun Zhuo Li G. Wang 117 0 0 13 Feb 2023
Gaussian Processes Model-based Control of Underactuated Balance Robots Kuo Chen J. Yi Dezhen Song 61 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 79 6 0 29 Jun 2020
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants Siqi Zhou Angela P. Schoellig 44 12 0 24 Dec 2019
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization Sumeet Singh Spencer M. Richards Vikas Sindhwani Jean-Jacques E. Slotine Marco Pavone 92 76 0 29 Jul 2019
Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge Andriy Sarabakha Erdal Kayacan 39 13 0 26 May 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 69 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 115 276 0 19 Nov 2018
Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems M. Helwa Adam Heins Angela P. Schoellig 55 51 0 03 Apr 2018
Data-Efficient Multirobot, Multitask Transfer Learning for Trajectory Tracking Karime Pereida M. Helwa Angela P. Schoellig 71 31 0 13 Sep 2017