Taeyoung Lee

Professor

George Washington University

United States

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Taeyoung Lee is a Professor at George Washington University in the United States. His research areas include reinforcement learning applications in unmanned aerial vehicles, Bayesian attitude estimation, and adaptive control systems. Recent publications focus on topics such as quadrotor UAV control, energy consumption in biological flight, and safe exploration in adaptive treatment methodologies.

Articles (12)

Year:

2025

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2025

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (1)

Hikaru Aono

associate professor

Shinshu Daigaku - Ueda Campus

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Taeyoung Lee

Research Interests

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Articles (12)

Modular Reinforcement Learning for a Quadrotor UAV With Decoupled Yaw Control

Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control

Power Benefits of High-Altitude Flapping Wing Flight at the Monarch Butterfly Scale

Constrained Imitation Learning for a Flapping Wing Unmanned Aerial Vehicle

On the Observability of Attitude With Single Direction Measurements

Matrix Fisher–Gaussian Distribution on $\mathrm{SO}(3)\times \mathbb {R}^{ n }$ and Bayesian Attitude Estimation

Reinforcement Learning With Safe Exploration for Adaptive Plasma Cancer Treatment

Quadrotor State Estimation With IMU and Delayed Real-Time Kinematic GPS

Effects of abdomen undulation in energy consumption and stability for monarch butterfly

Geometric Adaptive Control With Neural Networks for a Quadrotor in Wind Fields

Effects of flight altitude on the lift generation of monarch butterflies: from sea level to overwintering mountain

Introducing adaptive cold atmospheric plasma: The perspective of adaptive cold plasma cancer treatments based on real-time electrochemical impedance spectroscopy

Collaborators (1)

Hikaru Aono

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