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Meta-Adaptive Nonlinear Control: Theory and Algorithms
We present an online multi-task learning approach for adaptive nonlinear...
06/11/2021 ∙ by Guanya Shi, et al. ∙
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Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions
Realtime model learning proves challenging for complex dynamical systems...
03/02/2021 ∙ by Michael O'Connell, et al. ∙
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Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions
We present Neural-Swarm2, a learning-based method for motion planning an...
12/10/2020 ∙ by Guanya Shi, et al. ∙
6
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Fast Uncertainty Quantification for Deep Object Pose Estimation
Deep learning-based object pose estimators are often unreliable and over...
11/16/2020 ∙ by Guanya Shi, et al. ∙
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Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems
Learning-based control algorithms require collection of abundant supervi...
05/09/2020 ∙ by Yashwanth Kumar Nakka, et al. ∙
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Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions
In this paper, we present Neural-Swarm, a nonlinear decentralized stable...
03/06/2020 ∙ by Guanya Shi, et al. ∙
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Beyond No-Regret: Competitive Control via Online Optimization with Memory
This paper studies online control with adversarial disturbances using to...
02/13/2020 ∙ by Guanya Shi, et al. ∙
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Robust Regression for Safe Exploration in Control
We study the problem of safe learning and exploration in sequential cont...
06/13/2019 ∙ by Anqi Liu, et al. ∙
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Neural Lander: Stable Drone Landing Control using Learned Dynamics
Precise trajectory control near ground is difficult for multi-rotor dron...
11/19/2018 ∙ by Guanya Shi, et al. ∙
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