Our Vision: Trustworthy Autonomy. FMCL pursues trustworthy autonomy for aerospace vehicles and future mobility. Trust in an autonomous system is completed along two axes: machine-side reliability, which ensures the autonomy behaves correctly under uncertain and complex missions, and human-side acceptance, which ensures people can rely on it and ride it comfortably. Our three research thrusts below jointly bridge these two kinds of trust.
Trajectory Optimization & Path Planning
- Bézier curve-based trajectory optimization
- Convex optimization for constrained environments
- Multi-mission trajectory design for reusable space vehicles (ReUSV), orbit transfer, UAMs/UAVs
- Real-time obstacle-avoidance path planning
Guidance, Navigation & Optimal Control
- Impact time and angle control guidance
- Vector field-based path-following guidance
- Nonlinear and deep learning-based control
- GNSS/RTK-based positioning, navigation, and sensor fusion
Human-Centric Estimation & Ride Comfort
- Motion sickness prediction and index modeling
- Vestibular modeling and IMU-based human motion analysis
- Sensor fusion and lightweight filtering algorithms
Future Direction. We are building an XR digital-twin-based verification testbed to validate the above technologies before real-world deployment, jointly checking machine behavior and human response in the same environment.