Yukun LuView profile
Assistant Professor
Yukun Lu is an Assistant Professor in the Department of Mechanical Engineering at the University of New Brunswick (UNB), where he directs the Intelligent Mobility and Robotics Lab (IMRL). He also holds an Adjunct Assistant Professor position at the University of Waterloo. His research bridges robotics, vehicle dynamics, and autonomous systems with practical applications in challenging environments. Education: PhD in Mechanical and Mechatronics Engineering Research Focus: Dr. Lu specializes in autonomous platooning for mixed-terrain environments , robotic mobility with tracked/wheeled corner modules for forestry , and ground-air collaboration for perception, mapping, and path planning . His work integrates vehicle dynamics and control to enhance safety and performance of autonomous systems, particularly in adverse conditions where traditional approaches fail. Publication Trends: His 2023-2025 publications reveal three dominant themes: (1) Robust perception systems for adverse weather and infrastructure cooperation (e.g., CoInfra dataset), (2) Advanced suspension control for stability and comfort (e.g., IS-ARPS systems), and (3) Uncertainty quantification in autonomous driving using polynomial chaos expansion. These works consistently bridge theoretical control methods with real-world automotive applications. Scientific Awards: No awards listed in provided information Advising and Grants: While no specific students or grants are mentioned, his leadership of the IMRL indicates active supervision of graduate researchers in robotics and autonomous vehicle projects. His interdisciplinary work likely involves industry partnerships in automotive and forestry sectors. Laboratory: As Director of the Intelligent Mobility and Robotics Lab (IMRL), Dr. Lu oversees research in autonomous mobility systems, with emphasis on mixed-terrain navigation, perception robustness, and human-robot collaboration. The lab serves as a hub for developing solutions applicable to both urban and remote industrial environments.





