Guoquan Huang

Guoquan Huang is an Assistant Professor in the Department of Mechanical Engineering at the University of Delaware. He holds a B.Eng. in Automation from the University of Science and Technology, Beijing (2002), and M.Sc. and Ph.D. degrees in Robotics from the University of Minnesota (2009 and 2012). Prior to his current role, he was a Postdoctoral Associate at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on robotics, computer vision, and autonomous systems, emphasizing probabilistic perception, estimation, and control for ground, aerial, and underwater vehicles. He leads the development of the OpenVINS platform for visual-inertial estimation and has contributed to advancements in SLAM (Simultaneous Localization and Mapping), sensor fusion, and multi-robot coordination.

Education:

• B.Eng in Automation (Electrical Engineering), University of Science and Technology, Beijing, 2002
• M.Sc. in Robotics, University of Minnesota, Twin Cities, 2009
• Ph.D. in Robotics, University of Minnesota, Twin Cities, 2012

His research interests span robotics, computer vision, and autonomous systems, with a focus on:

• Visual-inertial navigation and SLAM
• Sensor fusion (LiDAR, IMU, camera)
• Autonomous vehicle control and safety
• Multi-robot cooperative localization

His recent publications (2023–2025) emphasize robust algorithms for navigation in GPS-denied environments, real-time sensor calibration, and dataset development for aerial visual localization. He has pioneered techniques like decoupled error-state estimation and consistent parallel frameworks for SLAM.

Labs/Teams: Leads the development of the OpenVINS research platform, focusing on visual-inertial state estimation. Collaborates on projects involving human-swarm interactions and resilient ground vehicle navigation.