GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics
Author:
Affiliation:
1. New York University, Tandon School of Engineering,Brooklyn,NY,USA,11201
2. University of Perugia,Department of Engineering,Perugia,Italy,06125
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160726.pdf?arnumber=10160726
Reference33 articles.
1. Data-Driven MPC for Quadrotors
2. Cautious Model Predictive Control Using Gaussian Process Regression
3. Gaussian Processes for Data-Efficient Learning in Robotics and Control
4. Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression
5. Reachability-based safe learning with Gaussian processes
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. From Propeller Damage Estimation and Adaptation to Fault Tolerant Control: Enhancing Quadrotor Resilience;IEEE Robotics and Automation Letters;2024-05
2. Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control;IEEE Transactions on Robotics;2024
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