ICASL Lab

Xiangyu Meng

The ICASL (Intelligent Control of Autonomous Systems) Lab focuses on perception, planning, control, and coordination of autonomous systems, with a particular emphasis on autonomous vehicles and drones, and intelligent transportation systems. Our research integrates theoretical foundations with real-world applications to develop next-generation solutions for mobile robot autonomy.

Professor Meng with Graduate Students

Areas of Research

  • Sensor fusion and perception using LiDAR, cameras, and inertial sensors to enhance situational awareness.
  • Simultaneous Localization and Mapping (SLAM) for real-time environment mapping and robot localization.
  • Path planning and motion control for autonomous navigation in dynamic and uncertain environments.
  • Multi-agent coordination for collaborative tasks among fleets of robots or drones.
  • Hardware-in-the-loop testing using platforms like Q-cars and UAVs to validate algorithms in real-world scenarios.
  • Virtual reality (VR) and simulation using Unreal Engine to create immersive 3D environments for algorithm testing and safety training for industrial workers.

Equipment

  • Quanser Self-Driving Car Studio
  • Robotic Cars: Create 2, TurtleBot, Sphero RVR, ROBOTIS OP2
  • Ariel Drones
  • Space Rover
  • Cameras: e-CON, Zed X, Intel RealSense, Go Pro, Boson
  • Computers: Alienware Aurora, Precision 5820 Tower Data Science Workstation, Apple Mac Pro
  • VR Goggles: Meta Quest Pro

Links

Videos about the lab are available on Dr. Meng's Youtube and in-depth research information is available on his Website