Dr. Tsehuai Wu

Professor of the Practice

Department of Mechanical Engineering
University of Maryland, Baltimore County
1000 Hilltop Circle
Baltimore, MD 21250

Phone: (410) 455-3309
Office: ENGR218
Email:  tsewu@umbc.edu

Nameless Lab

 

Bio

Dr. Wu’s research interests include robotics, embedded systems, and guidance, navigation, and control (GN&C). He received his Ph.D. and M.S. in Mechanical and Aerospace Engineering from the George Washington University, and his B.S. from National Tsing Hua University in Taiwan. In 2020, Dr. Wu joined UMBC from Clear Guide Medical, a spinout of the Johns Hopkins Medical Institutions and the Johns Hopkins University, where he applied modern C++ to the research and development of IMU- and vision-based surgical navigation devices. With several years of professional software development experience, Dr. Wu is strongly committed to integrating programming practice with classroom learning.

Teaching

    • ENME482L – Vibration & Control Laboratory
    • ENME475/408 – Robotics/Robotic Manipulations
    • ENME403 – Automatics Controls
    • ENME303 – Computational Methods for Engineers (Linear Algebra)

Selected Publications

    • S. Ojha, K. Leodler, L. Barbieri, and T. Wu “Force And Motion Control for A Six Degree-Of-Freedom Robotic Manipulator with Digital Twin Visualization” in ASME International Mechanical Engineering Congress and Exposition, 2025, accepted.
    • T. Wu and F. Hamidi “Using Arduino Kits and Discord to Implement A Fully Remote Laboratory Course During the COVID-19 Pandemic” in ASEE Annual Conference, 2022, no. 36497.
    • T. Wu, B. Flewelling, F. Leve, and T. Lee “Spacecraft relative attitude formation tracking using line-of-sight measurements” Journal of Guidance, Control, and Dynamics, 2017, Vol. 40, No. 10, pp. 2616-2629.
    • T. Wu and T. Lee “Angular velocity observer for velocity-free attitude tracking control on SO(3)” International Journal of Control, Automation, and Systems, 2016, 14(5):1289-1298, doi: 10.1007/s12555-015-0163-3.
    • T. Wu and T. Lee “Spacecraft position and attitude formation control using line-of-sight observations” in Proceedings of IEEE Conference on Decision and Control, 2014, pp. 970-975.