Research

Our research interests include control and optimization for autonomous operations of unmanned assets, particularly UAV, including;

Energy efficient path planning using system control and optimization methods
SOC, SOH, and SOP state estimation algorithm development of small Li-Ion battery pack system for miniature UAV
Configurable model based SW platform development for miniature UAV

Development of a hybrid power source-based long-term vertical take-off and landing (VTOL) unmanned aerial system (UAS) and an image-based automatic hydrogen charging system for unmanned, continuous, and safe optical surveillance mission

Marine environment observation UAV is being developed to instantly capture various marine phenomena occurring on the coast by carrying two sets of multi-Spectral imaging cameras
The remote reflectance of seawater is the most basic optical property to estimate color components in seawater and we could remotely estimate the chlorophyll concentration, and etc.

Develop advanced analysis model for secondary battery based on single deterioration cell parameter
Develop reusable battery performance and life durability prediction technology according to deterioration factors
Development of universal BMS based on waste battery diagnosis model and verification of Jindal technology

Expansion of the mission range of unmanned aerial vehicles (UAV) (long-range, real-time, long-term flight)
Increase of initial speed/altitude through rocket propulsion during take-off
Supply more than 50% of the required energy to the rocket during the flight phase
Supersonic flight with low propulsion load (2~3G)
Comparatively simple additional system (rocket propulsion device attached to the foldable UAV)
Suitable to meet the demand for micro-miniature UAV
Low-cost, real-time, high-resolution data collection compared to artificial satellites