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!
Robot/Computer Vision
- Visual-Inertial Odometry (VIO); Vision-Aided Inertial Navigation Systems (V-INS)
- Simultaneous Localization and Mapping (SLAM)
- Sensor Fusion
- Visual Recognition
Future Air Mobility and Space Robotics
Optimal Filtering of Dynamic Systems
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 SLAM, we investigate more efficient, intelligent vision algorithms that perceive and interact with the real world.

Autonomous GNC Solutions for Unmanned Aircraft, Mobility, and Robots

Since a certain sensor may be more suitable for some environments and motions, multi-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 cooperation under limited communication. Thus, we investigate autonomous decision-making that allows multiple robots to share data and make quick decisions together, thus overcoming any latency and bandwidth constraints.