Jul 19, 2022 · Abstract:In this work, we consider the task of improving the accuracy of dynamic models for model predictive control (MPC) in an online ...
It has been used to learn dynamics models for a variety of robots including quadru- ple robots, robotic arms, and autonomous racing vehicles [16, 17, 18, 19].
This work proposes an online dynamics learning framework that continually improves the accuracy of the dynamic model during deployment, ...
Nov 28, 2022 · It has been used to learn dynamics models for a variety of robots including quadru- ple robots, robotic arms, and autonomous racing vehicles [16 ...
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots, author={Jiahao, Tom Z. and Chee, Kong Yao and Hsieh, M. Ani},
Dec 7, 2023 · and Chee, Kong Yao and Hsieh, M. Ani "Online Dynamics Learning for Predictive Control with an Application to Aerial Robots" Proceedings of ...
To improve the adaptiveness of the model and the controller, we propose an online dynamics learning framework that continually improves the accuracy of the ...
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We propose a novel learning-enhanced MPC framework that incorporates components from C 1 adaptive control into learning-based MPC.
To improve the adaptiveness of the model and the controller, we propose an online dynamics learning framework that continually improves the accuracy of the ...
In this paper, we come up with a new framework combining of computationally efficient non-linear model predictive controller and motion primitive to optimize ...