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07/13/2023
CaRT: Certified Safety and Robust Tracking in Learning-based Motion Planning for Multi-Agent Systems
The key innovation of our analytical method, CaRT, lies in establishing ...
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10/26/2022
Interstellar Object Accessibility and Mission Design
Interstellar objects (ISOs) are fascinating and under-explored celestial...
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08/09/2022
Neural-Rendezvous: Learning-based Robust Guidance and Control to Encounter Interstellar Objects
Interstellar objects (ISOs), astronomical objects not gravitationally bo...
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10/02/2021
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability
This paper presents a theoretical overview of a Neural Contraction Metri...
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10/01/2021
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
Contraction theory is an analytical tool to study differential dynamics ...
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03/04/2021
Learning-based Adaptive Control via Contraction Theory
We present a new deep learning-based adaptive control framework for nonl...
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02/25/2021
Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach
This paper presents Learning-based Autonomous Guidance with Robustness, ...
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11/06/2020
Neural Stochastic Contraction Metrics for Robust Control and Estimation
We present neural stochastic contraction metrics, a new design framework...
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07/10/2020
Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization
This paper presents ConVex optimization-based Stochastic steady-state Tr...
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07/10/2020