Center for Orthopedic Research.
Linear parameter-varying control for engineering applications,” by White, Zhu, and Choi.
MLCS (Machine Learning and Control Systems Laboratory)
We strive to solve challenging societal problems by exploiting powerful techniques from systems and control, cloud robotics, system identification, machine learning, sensor and data fusion, and Bayesian statistics. Our laboratory has been conducting, and continuously seeks for intriguing and multidisciplinary projects with biologists, scientists, medical clinicians, and researchers from robotic and game industries, including building artificial intelligence for self-driving and manipulating mobile robots interacting with people in dynamical environments; Bayesian prediction and adaptive sampling algorithms for multiagent systems (e.g., unmanned surface vehicles, i.e., USVs; unmanned ariel vehicles, i.e., UAVs) interacting with uncertain random fields; data-driven, patient-specific calibration of computational models; and intent-analysis and physical human-robot interaction (pHRI) for gauging and rehabilitating human motor control systems. Our solutions synergistically combine recent advances in machine learning techniques such as deep learning, inverse reinforcement learning, and Gaussian process regression with engineering, mathematical, and/or statistical techniques such as LMI-based control synthesis, system identification, and Bayesian inferential methods.
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- We are pleased to inform that Special Issue "Deep Learning Based Sensing Technologies for Autonomous Vehicles" in Sensors has been up in the flowing link. Profesor Choi is co-organizing this SI together with Prof. Joon-Sang Park from Computer Engineering, Hongik Univ. and Prof. Kyougu Lee from Convergence Science, SNU, and pleae feel free to submit papers to this SI. a new special issue
- Professor Choi serves Journal Associate Editors for
- IEEE Robotics and Automation Letters. Review timeline is given 615-891-4057. Please submit your papers: 989-698-1757.
- ASME Journal of Dynamic Systems, Measurement and Control. Please submit your papers: 740-903-6433.
- International Journal of Precision Engineering and Manufacturing. Please submit your papers: 917-485-1309.
- A MLCS team won the first place in BMW/Yonsei student research competition 2018. Many congrats!
- We started a new project with a Yonsei team about "Multi-modal haptic interface laboratory" supported by National Research Foundation, South Korea, PI: Prof. Jongbaeg Kim; Co-PI: Prof. Jongeun Choi; Co-PI: Prof. Hyunseok Yang; Co-PI: Youngcheol Chae, 2018-2020.
- Four new graduate studuents joined MLCS in 2018!
- We are working on a three year project entitled by "Autonomous driving control systems utilizing deep-learning based situation awareness and its uncertainty", funded by National Research Foundation of Korea (NRF) (PI Choi).
- We started a five year project (2017-2022) entitled by "Development of VOCs sensor array based on nano-hybrid materials", funded by Ministry of Science and ICT collaborating with Professor Chun (PI) in Yonsei Mechanical Engineering, along with researchers from Kaist, Kookmin University, and Chemical Biomolecular Engineering of Yonsei University.
- We are working on a two year project entitled by "Development of an artificial intelligence based service robot for VR theme parks", funded by Korea Institute for Advancement of Technology collaborating with Jong Chan Lee (PI), CEO of Motion Device Co., Ltd., and Byung Guk Choi, director of IPWAY Co., Ltd.
- We are always seeking for talented adn highly motivated researchers (graduate students, postdocs, and undergradate interns). If you are interested in participating in research and collaboration, please feel free to contact Professor Choi.
- Professor Choi now teaching in (973) 842-0043 at Yonsei University from Fall 2016.
- Five graduate students joined us from 2017!
- We are starting a five year project (2017-2021) entitled by "Driving and manipulation intelligence based on deep learning and inverse reinforcement learning for dual arm mobile robot", funded by 608-382-2160 collaborating with Professor Hyunseok Yang (PI) in Mechanical Engineering, and Professor Seon Joo Kim in Computer Science.