Online Continual Learning for Control of Mobile Robots
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[1] Savitha Ramasamy,et al. Online Continual Learning Using Enhanced Random Vector Functional Link Networks , 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[2] Simone Calderara,et al. Avalanche: an End-to-End Library for Continual Learning , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[3] D. Bacciu,et al. Continual Learning for Recurrent Neural Networks: an Empirical Evaluation , 2021, Neural Networks.
[4] Hyunwoo J. Kim,et al. Online Continual Learning in Image Classification: An Empirical Survey , 2021, Neurocomputing.
[5] Bernhard Sick,et al. CLeaR: An adaptive continual learning framework for regression tasks , 2021, AI Perspectives.
[6] Ioannis Kanellos,et al. A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks , 2020, Neural Networks.
[7] Erdal Kayacan,et al. Online Deep Fuzzy Learning for Control of Nonlinear Systems Using Expert Knowledge , 2020, IEEE Transactions on Fuzzy Systems.
[8] Dogan Kircali,et al. An Intelligent Hybrid Artificial Neural Network-Based Approach for Control of Aerial Robots , 2020, J. Intell. Robotic Syst..
[9] Tinne Tuytelaars,et al. A Continual Learning Survey: Defying Forgetting in Classification Tasks , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] David Filliat,et al. Continual Learning for Robotics , 2019, Inf. Fusion.
[11] Erdal Kayacan,et al. Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[12] Erdal Kayacan,et al. Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking , 2019, 2019 18th European Control Conference (ECC).
[13] Marc'Aurelio Ranzato,et al. Continual Learning with Tiny Episodic Memories , 2019, ArXiv.
[14] Marc'Aurelio Ranzato,et al. Efficient Lifelong Learning with A-GEM , 2018, ICLR.
[15] Martin V. Butz,et al. Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture , 2018, Neural Networks.
[16] Mohsen Guizani,et al. Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges , 2018, IEEE Access.
[17] Stefan Wermter,et al. Continual Lifelong Learning with Neural Networks: A Review , 2018, Neural Networks.
[18] Steven C. H. Hoi,et al. Online Learning: A Comprehensive Survey , 2018, Neurocomputing.
[19] Philip H. S. Torr,et al. Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence , 2018, ECCV.
[20] Angela P. Schoellig,et al. Design of deep neural networks as add-on blocks for improving impromptu trajectory tracking , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).
[21] Ming Liu,et al. Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not , 2016, ArXiv.
[22] Andrei A. Rusu,et al. Overcoming catastrophic forgetting in neural networks , 2016, Proceedings of the National Academy of Sciences.
[23] Erdal Kayacan,et al. Y6 tricopter autonomous evacuation in an Indoor Environment using Q-learning algorithm , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).
[24] Derek Hoiem,et al. Learning without Forgetting , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Jürgen Schmidhuber,et al. Training Very Deep Networks , 2015, NIPS.
[26] Peter I. Corke,et al. Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor , 2012, IEEE Robotics & Automation Magazine.
[27] N. McClamroch,et al. Published online in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/asjc.567 NONLINEAR ROBUST TRACKING CONTROL OF A QUADROTOR UAV ON SE(3) , 2022 .
[28] Shweda Mohan,et al. Decoupled Dynamic Control of Unicycle Robot Using Integral Linear Quadratic Regulator and Sliding Mode Controller , 2016 .
[29] Alberto Isidori,et al. Elementary Theory of Nonlinear Feedback for Multi-Input Multi-Output Systems , 1989 .