The following publications are possibly variants of this publication:
- An Inversion-Based Learning Approach for Improving Impromptu Trajectory Tracking of Robots With Non-Minimum Phase DynamicsSiqi Zhou, Mohamed K. Helwa, Angela P. Schoellig. ral, 3(3):1663-1670, 2018. [doi]
- Deep neural networks as add-on modules for enhancing robot performance in impromptu trajectory trackingSiqi Zhou, Mohamed K. Helwa, Angela P. Schoellig. ijrr, 39(12), 2020. [doi]
- Deep neural networks for improved, impromptu trajectory tracking of quadrotorsQiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig. icra 2017: 5183-5189 [doi]
- Design of deep neural networks as add-on blocks for improving impromptu trajectory trackingSiqi Zhou, Mohamed K. Helwa, Angela P. Schoellig. cdc 2017: 5201-5207 [doi]