Machine Learning and Control Systems Laboratory
MLCS
We strive to solve challenging societal problems by exploiting powerful modern computational and mathematical techniques from machine learning, systems and control, system identification, Bayesian statistics, and sensor and data fusion. 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. As results, our solutions are creative and successful, and happen to 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.
NEWS
- Click to see our 20 new publications.
- 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 served (or serves) Journal Associate Editors for
- IEEE Robotics and Automation Letters. Review timeline is given here. Please submit your papers: RAS Conference/Journal Management System.
- ASME Journal of Dynamic Systems, Measurement and Control. Please submit your papers: ASME Journal Management System.
- International Journal of Precision Engineering and Manufacturing. Please submit your papers: IJPEM Journal Management System.
- 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 School of Mechanical Engineering 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 Ministy of Trade, Industry and Energy collaborating with Professor Hyunseok Yang (PI) in Mechanical Engineering, and Professor Seon Joo Kim in Computer Science.

