Our research investigates the solution for robust and safe perception, planning, and control to build a fully autonomous, but safe and resilliant robotic system.

Our project idea is extended to multi-vehicles with the ability of sharing information between fleets of vehicles. We design and develop the state-of-the-art data fusion and decision making technology with the aid of intelligent communication to build a reliable and robust team of autonomous vehicles.

• 
  Multi-Agent Spectrum Sharing (MASS)
• 
  RNA Sequencing project
• 
  AirOU Race Cars (ARC)
• 
  AirOU Race Cars - Pro (ARCPro)
• 
  Autonomous Drones
• 
  Applying Gender-Semantic Classification for Enhanced 3D Tracking and Reconstruciton
• 
  Context-Aware Outlier Rejection for Robust Multi-View 3D Tracking of Similar Small Birds in An Outdoor Aviary
• 
  Social Behavior Classification in Animals
• 
  AirOU Smart Mini-City (AirOUS-MCity)
• 
  Camera-Radar Multi Object Tracking
• 
  Radar-Based Depth Estimation
• 
  Previous Projects