In the AIS Lab, we focus on
Balanced research between theory and applications
Extended research for bridging between conventional scheme and novel design
Enhanced robustness to uncertain, dynamic, and practical environments
The research interests include, not limited to :
Automatic Carrier landing/ Collision avoidance/ Path planning and optimization
Reachability Analysis/ Data-driven Analysis and Design
Autopilots for boost and gliding phases
Cooperative Guidance Strategy / Control
Trajectory Optimization/ Midcourse and Terminal Guidance Laws
Bayesian Framework for destination inference
Intent-driven target model and improved state estimation
UAS, Drones, Missile, Aerospace vehicles
Counter UAS for future surveillance
Collision Avoidance Algorithm applied to Fixed-wing UAV
Collision Avoidance Algorithm applied to small UAV (hexacopter)
Missile guidance for moving target interception
Cooperative Guidance Strategy
Bayesian Framework for destination inference
Intent-driven target model and improved state estimation
Ship defense system and Anti-ship missile simulator
Automatic Carrier Landing Simulator
Exo-atmospheric vehicle engagement simulator