About AIR Lab.

Last update: Mar. 10, 2020

NOTICE! - MS, Ph.D. positions Opened

The Applied Intelligence & Robotics(AIR) Lab. invites applications for fully-funded MS, Ph.D. positions (starting August 2020) in the areas of sensor fusion, deep learning, SLAM, and autonomous navigation. The positions are open for motivated candidates with a background in Mechanical Engineering, Robotics, Computer Science or Mechatronics. It is expected that mechanical design, computer science, mobile robotics, machine learning, and optimization, as well as analytical/experimental mechanics, will be key features of the research. Candidates with a broad range of technical skills and a track record in translating conceptual ideas into working prototypes will be strongly considered. Evidence of an ability to work in collaborative teams and good communication skills (oral and written) is essential. In addition, successful candidates will be expected to publish scholarly papers and attend international conferences. Please contact Dr. Sejin Lee, (sejiny3@kongju.ac.kr), and attach your CV, and cover letter describing research interests.




The Applied Intelligence & Robotics Laboratory(AIR Lab.) was established in 2013 when Dr. Sejin Lee joined the Division of Mechanical and Automotive Engineering, College of Engineering at Cheonan, Kongju National University. The AIR Lab researches many aspects of robot machine autonomy in sensor fusion. Welcome to our homepage to all of you!




Current Research Interests

The environmental description based on robotic sensing is fundamentally essential to be applied to the autonomous navigation for mapping, localization, simultaneous localization and mapping, obstacle avoidance, path planning, exploration, and decision making. We are trying to handle these issues with the deep learning approach which is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers with complex structures or otherwise composed of multiple non-linear transformations. The unmanned vehicles can be expected to do their navigational tasks in swarms with a sort of artificial intelligence on the ground, water surface, aerial space, and so on.