Research

Research Interests

Aerial Robot (Drone) Applications
- Infrastructure Inspection and Maintenance
- Search and Rescue; Forest Fire Detection and Monitoring
- Traffic Patrol; Precision Agriculture; Delivery
- Security; Counter-UAS
- Urban Air Mobility (UAM); and much more!
Future Air Mobility and Space Robotics
- Terrain Relative Navigation
- Emergency Landing / Precision Landing
Robot/Computer Vision
- Visual-Inertial Odometry (VIO); Vision-Aided Inertial Navigation Systems (V-INS)
- Simultaneous Localization and Mapping (SLAM)
- Sensor Fusion
Guidance, Navigation, and Control (GNC)

Research Topics

Computer Vision and Robot Perception for Extreme Environments

Since the quality of the image processing front-end is extremely significant for achieving higher accuracy of VIO or V-SLAM, we investigate more efficient, intelligent vision algorithms that perceive and interact with the real world.

Autonomous GNC Solutions for Unmanned Aircraft, Aerospace Mobility, and Robots

Since a certain sensor may be more suitable for some environments and motions, high-fidelity sensor fusion produces more consistent, reliable, and robust navigation on safety-critical, real-world systems. Therefore, we investigate state-of-the-art intelligent navigation and exploration.

Autonomy for Multi-Robot Systems

Autonomy is an essential feature of robotic collaboration and coordination under a limited communication network. Thus, we investigate distributed, autonomous decision-making that allows multiple heterogeneous robots to share info and make quick decisions together, thus overcoming any latency and bandwidth constraints.