Faculty

Institution

Unit

Venue

Taeyoung Lee

Professor

George Washington University

Affiliations

School of Engineering & Applied Science

Department of Mechanical & Aerospace Engineering

Taeyoung Lee is currently serving as a Mechanical & Aerospace Engineering Professor at George Washington University.

Honors

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Experiences

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Education

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Taeyoung Lee

George Washington University

Professor

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aerospace engineering robotics automatic control unmanned aerial vehicles aerial robotics aeronautics control systems systems engineering applied mathematics drones space exploration engineering astronautics quadrotor uav vehicular technology control optimization adaptive control control engineering motion control control system technology control science rigid body kinematics dynamical systems navigation vehicle control control technology flight control spacecraft attitude control avian biology geometric control tracking control guidance system insect science lie group space robotics active control robot control hamiltonian dynamics robust control geometric adaptive control autonomous robots intelligent robotic systems unmanned aircraft systems machine vision nonlinear control mathematical control theory state estimation intelligent robotics aerospace technology attitude theory attitude dynamic asteroids global formulations monarch butterfly abdomen undulation angular velocity observer kalman filter field robotics vehicle system dynamics cancer care numerical simulations mammalian biology space engineering cancer treatment estimation theory plasma medicine planetary exploration cable-suspended load full body problem flexible cable rigid bodies lagrangian mechanics wind fields distributed robotics vector control space technology aerospace

Notable Scholarly Works

Notable Federal Grants

Collaborators

Deep Monocular Relative 6D Pose Estimation for Ship-Based Autonomous Uav. AIAA SCITECH 2022 Forum (2024)

Maneesha WickramasuriyaTaeyoung LeeMurray Snyder

computer scienceaerial roboticscomputer visiondeep learninglocalizationship-based autonomous uavpositioning systemsmachine visionimage analysishuman pose estimationroboticsmachine learning

Deep Neural Pose Estimation for a Flapping Wing Unmanned Aerial Vehicle With Visual-Inertial Sensor Fusion. AIAA SCITECH 2022 Forum (2024)

Tejaswi K CTaeyoung LeeChang-Kwon Kang

computer scienceaeronauticsunmanned aerial vehiclesaerial roboticscomputer visiondeep learningvisual-inertial sensor fusionneurosciencemotion analysisroboticsmachine learningaerospace engineering

Modular Reinforcement Learning for a Quadrotor Uav With Decoupled Yaw Control. IEEE Robotics and Automation Letters (2024)

Beomyeol YuTaeyoung Lee

aerial roboticsaerospace roboticsmechanical engineeringrobot learningsystems engineeringflight controlquadrotor uavreinforcement learningunmanned aircraft systemsroboticsactive controlunmanned aerial vehiclesdecoupled yaw controlaerospace engineeringautomatic controlmodular reinforcementdronesflying robottrajectory planningcontrol optimizationcontrol systems

Climbing Flight of Monarch Butterflies via Wing and Abdomen Kinematic Modulation Using a High-Fidelity Numerical Framework. AIAA SCITECH 2022 Forum (2023)

Jeremy A. PohlyChang-kwon KangTejaswi K. C.Taeyoung LeeHikaru Aono

abdomen kinematic modulationmonarch butterfliesaeronauticshigh-fidelity numerical frameworkaerodynamicsavian biologyinsect sciencekinematicsentomologyaerospace engineering

Delayed Kalman Filter for Vision-Based Autonomous Flight in Ocean Environments. Control Engineering Practice (2023)

Kanishke GamagedaraTaeyoung LeeMurray Snyder

artificial intelligencecontrol architecturesystems engineeringautomatic controlcontrol engineeringaerial roboticscomputer visionkalman filtervehicular technologyengineeringcontrol systemscontrol system technologyvision-based autonomous flightocean environmentscontrol designroboticscontrol technologyaerospace engineering

Equivariant Reinforcement Learning for Quadrotor Uav. 2022 American Control Conference (ACC) (2023)

Beomyeol YuTaeyoung Lee

computer scienceunmanned aerial vehiclesaerial roboticsdronesquadrotor uavreinforcement learning

G-Learning: Equivariant Indirect Optimal Control With Generating Function. (2023)

Taeyoung Lee

computer sciencecontrol optimization

Ins-Gnss Navigation for Large Attitude Uncertainties With the Matrix Fisher–Gaussian Distribution. 2022 American Control Conference (ACC) (2023)

Weixin WangTaeyoung Lee

global navigation satellite systemmatrix fisher-gaussian distributionins-gnss navigationnavigationlarge attitude uncertaintiesaerospace engineering

Numerical Analysis of Flight Performance of Bioinspired Mars Flight Vehicles. AIAA SCITECH 2022 Forum (2023)

Michaela L. TarpleyJeremy A. PohlyChang-Kwon KangTaeyoung LeeHikaru Aono

aeronauticsunmanned aerial vehiclesaerial roboticsflight performanceastronomyaerospace roboticsnumerical analysisaerodynamicsspace roboticsspace explorationroboticsastronauticsplanetary sciencesaerospace engineering

Power Benefits of High-Altitude Flapping Wing Flight at the Monarch Butterfly Scale. Biomimetics (2023)

Chang-kwon KangMadhu SridharRachel TwiggJeremy PohlyTaeyoung LeeHikaru Aono

biophysicsinsect molecular biologyaeronauticsbiomimetic systemspower benefitsaerodynamicsdevelopmental biologybiologyavian biologyinsect sciencebioenergeticsentomologymonarch butterfly scalebiomechanics

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Taeyoung Lee

Professor

George Washington University

Affiliations

School of Engineering & Applied Science

Department of Mechanical & Aerospace Engineering

Taeyoung Lee is currently serving as a Mechanical & Aerospace Engineering Professor at George Washington University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Taeyoung Lee

George Washington University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Deep Monocular Relative 6D Pose Estimation for Ship-Based Autonomous Uav. AIAA SCITECH 2022 Forum (2024)

Maneesha WickramasuriyaTaeyoung LeeMurray Snyder

computer scienceaerial roboticscomputer visiondeep learninglocalizationship-based autonomous uavpositioning systemsmachine visionimage analysishuman pose estimationroboticsmachine learning

Deep Neural Pose Estimation for a Flapping Wing Unmanned Aerial Vehicle With Visual-Inertial Sensor Fusion. AIAA SCITECH 2022 Forum (2024)

Tejaswi K CTaeyoung LeeChang-Kwon Kang

computer scienceaeronauticsunmanned aerial vehiclesaerial roboticscomputer visiondeep learningvisual-inertial sensor fusionneurosciencemotion analysisroboticsmachine learningaerospace engineering

Modular Reinforcement Learning for a Quadrotor Uav With Decoupled Yaw Control. IEEE Robotics and Automation Letters (2024)

Beomyeol YuTaeyoung Lee

Climbing Flight of Monarch Butterflies via Wing and Abdomen Kinematic Modulation Using a High-Fidelity Numerical Framework. AIAA SCITECH 2022 Forum (2023)

Jeremy A. PohlyChang-kwon KangTejaswi K. C.Taeyoung LeeHikaru Aono

abdomen kinematic modulationmonarch butterfliesaeronauticshigh-fidelity numerical frameworkaerodynamicsavian biologyinsect sciencekinematicsentomologyaerospace engineering

Delayed Kalman Filter for Vision-Based Autonomous Flight in Ocean Environments. Control Engineering Practice (2023)

Kanishke GamagedaraTaeyoung LeeMurray Snyder

Equivariant Reinforcement Learning for Quadrotor Uav. 2022 American Control Conference (ACC) (2023)

Beomyeol YuTaeyoung Lee

computer scienceunmanned aerial vehiclesaerial roboticsdronesquadrotor uavreinforcement learning

G-Learning: Equivariant Indirect Optimal Control With Generating Function. (2023)

Taeyoung Lee

computer sciencecontrol optimization

Ins-Gnss Navigation for Large Attitude Uncertainties With the Matrix Fisher–Gaussian Distribution. 2022 American Control Conference (ACC) (2023)

Weixin WangTaeyoung Lee

global navigation satellite systemmatrix fisher-gaussian distributionins-gnss navigationnavigationlarge attitude uncertaintiesaerospace engineering

Numerical Analysis of Flight Performance of Bioinspired Mars Flight Vehicles. AIAA SCITECH 2022 Forum (2023)

Michaela L. TarpleyJeremy A. PohlyChang-Kwon KangTaeyoung LeeHikaru Aono

Power Benefits of High-Altitude Flapping Wing Flight at the Monarch Butterfly Scale. Biomimetics (2023)

Chang-kwon KangMadhu SridharRachel TwiggJeremy PohlyTaeyoung LeeHikaru Aono

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10 / page

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