•  Hybrid reinforcement learning control for a micro quadrotor flight

    Jaehyun Yoo,​ Dohyun Jang, H. Jin Kim, Karl Henrik Johansson

    The 59th IEEE Conference on Decision and Control (CDC), L-CSS option, Jeju, S. Korea, 2020​

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•  Multi-robot informative planning and environmental model learning with distributed Gaussian process

    Dohyun Jang, Jaehyun Yoo,​ Clark Son, D. Kim, H. Jin Kim

   2020 IEEE IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), RA-L option, 2020

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• Feature representation ofWi-Fi signal strength for indoor location awareness​

    Jaehyun Yoo,​

    2019 International Conference on Control, Automation and Systems (ICCAS), 1498-1502.

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•  Networked Operation of a UAV Using Gaussian Process-Based Delay Compensation and Model     

    Predictive Control,

    Dohyun Jang, Jaehyun Yoo, C. Y. Son, H. J. Kim, and K. H. Johansson,

    2019 International Conference on Robotics and Automation (ICRA), 9216-9222.

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• Design, Modeling and Control of T3-Multirotor: A Tilting Thruster Type Multirotor

    Seungjae Lee, Jaehyun Yoo, and H. J. Kim,

    2018 International Conference on Robotics and Automation (ICRA), 1214-1219.

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• Event-based Observer and MPC with Disturbance Attenuation using ERM Learning

    Jaehyun Yoo,  E Nekouei, Karl H. Johansson,

    European Control Conference (ECC), Cyprus, 2018.

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• Event-triggered Model Predictive Control with Machine Learning based Disturbance Compensation,

    Jaehyun Yoo,  Adam Molin, Matin Jafarian, Hasan Esen, Dimos V. Dimarogonas, Karl H. Johansson,

    The 56th IEEE Conference on Decision and Control (CDC), Melbourne, Australia, 2017.

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• Trajectory generation for networked UAVs using online learning for delay compensation,

    Jaehyun Yoo, Seungjae Lee, H. Jin Kim, and Karl H. Johansson,

    The 1st IEEE Conference on Control Technology and Applications (CCTA), Hawai'i, USA, 2017.

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• Learning Communication Delay Patterns for Remotely Controlled UAV Networks,

    Jaehyun Yoo and Karl H. Johansson,

    The 20th IFAC World Congress, Toulouse, France, 2017.

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• Mapless Indoor Localization by Trajectory Learning from a Crowd,

    Jaehyun Yoo, H. Jin Kim, and Karl H. Johansson,

    International Conference on Indoor Positioning and Indoor Navigation (IPIN), Madrid, Spain, 2016,

    Best paper, Silvar award.

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• Utilization of Unlabeled data for Smartphone-robot Localization,

    Jaehyun Yoo and H Jin Kim,

     The 15th International Conference on Electronics, Information and Communication, Danang,                  Vietnam, 2016

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• A Semi-Supervised Learning for Loop Clousre in Indoor Positioning,

    Jaehyun Yoo and H. Jin Kim,

    The 30th Korean conference on Institute of Control, Robitics and Systems, Daejeon, Korea, 2015,

    Oustanding Best paper

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• WiFi RSS-based Loop Closure for Indoor Localization using Smartphone,

    Jaehyun Yoo and H. Jin Kim,

    International Conference on Indoor Positioning and Indoor Navigation (IPIN), Banff, Canada, 2015.

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• Machine Learning for Indoor Localization: Deep Learning and Semi-supervised Learning,

    S. Choi, Jaehyun Yoo, and H. Jin Kim,

    International Conference on Indoor Positioning and Indoor Navigation (IPIN), Banff, Canada, 2015.

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• A Mobile Robot Tracking using Kalman Filter-based Gaussian Process in Wireless Sensor               Networks,

    J. Lim, Jaehyun Yoo, and H. Jin Kim,

    IEEE International Conference on Control, Automation and Systems (ICCAS), 2015.

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• Online Estimation using Semi-Supervised Least Square SVR,

    Jaehyun Yoo and H. Jin Kim,

    IEEE International Conference on Systems, Man, and Cyernetics (SMC), San Diego, USA, 2014.

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• Optimal Sensor Placement for RSS-based Localization using Gaussian Proccess,

    Jaehyun Yoo and H. Jin Kim,    

    IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent                   Systems (Hongkong), 2014.

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• Predictive Target Detection and Sleep Scheduling for Wireless Sensor Networks,

      Jaehyun Yoo and H. Jin Kim,

      IEEE International Conference on Systems, Man, and Cyernetics, SMC, Manchester, UK, 2013

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• Semi-supervisesd Localization in Wireless Sensor Networks using Laplacian Support Vector         Regression,

      Jaehyun Yoo and H. Jin Kim,

      The 9th International syposium on Wireless sensor network Technologies and Applications for             Smart Space (Gwangju, Korea), 2013.

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• Multi-target Tracking using Distributed SVM Training over Wireless Sensor Networks,

      Woojin Kim, Jaehyun Yoo and H. Jin Kim,

      IEEE International Conference on Robotics and Automation (ICRA), Minnesota, USA, 2012.

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• Event-driven Gaussian Process for Object Localization in Wireless Sensor Networks,

      Jaehyun Yoo, Woojin Kim, and H. Jin Kim,

      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, USA,        2011