- Professor, Mechanical Engineering
- Regents Professor
- Mast-Childs Chair
- Affiliated Faculty, Aerospace Engineering and Engineering Technology & Industrial Distribution
- Phone: 979-845-6918
- Email: rlangari@tamu.edu
- Office: MEOB 417
- Website: Research Webpage
- Linkedin: Profile
Educational Background
- Ph.D., Mechanical Engineering, University of California, Berkeley – 1991
- M.Sc., Mechanical Engineering, University of California, Berkeley – 1983
- B.Sc., Mechanical Engineering, University of California, Berkeley – 1981
Research Interests
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- Computational intelligence
- Mechatronics
- Dynamic systems and control
- Robotics and automation
- Autonomous vehicles
- Fault diagnosis and identification (FDI)
- Rehabilitation robotics
Certifications & Memberships
- Fellow, American Society of Mechanical Engineers (ASME) – 2009
Awards & Honors
- Best Paper Award, Institute of Electrical and Electronics Engineers (IEEE) – 2001
- B.P. Amoco Award for Teaching Excellence – 2001
- Bechtel Faculty Fellow in Mechanical Engineering – 2000-2001
- NASA Faculty Fellow, Ames Research Center – 2000
- Boeing A.D. Welliver Fellow –1999
Selected Publications
- M. F. Wahid, R. Tafreshi and R. Langari, “A Multi-Window Majority Voting Strategy to Improve Hand Gesture Recognition Accuracies Using Electromyography Signal,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, (accepted, Dec 2019.)
- Q. Zhang*, R. Langari, H. E.Tseng, D. Filev, S. Szwabowski, S. Coskun, “A Game Theoretic Model Predictive Controller with Aggressiveness Estimation for Mandatory Lane Change,” IEEE Transactions on Intelligent Vehicles, DOI 10.1109/TIV.2019.295536, (accepted Nov 2019).
- J. Yao, J. Zhao, Y. Deng, and R. Langari, “Weak Fault Feature Extraction of Rotating Machinery Based on Double-Window Spectrum Fusion Enhancement,” IEEE Transactions on Instrumentation and Measurement, ISSN: 0018-9456, DOI: 10.1109/TIM.2019.2910920, April 2019.
- J.-Q. Xu, L. Li, S. Coskun and R. Langari, “Energy Management of Plug-In Hybrid Electric Vehicle Using Vehicle Lateral Dynamic in Velocity Prediction,” IEEE Transactions on Vehicular Technologies, 2019, 68(4), pp.3279-3293.
- J. Yoo* and R. Langari, “A Predictive Perception Model and Control Strategy for Collision Free Autonomous Driving”, IEEE Transactions on Intelligent Transportation Systems”, 2018, 20(11), pp.4078-4091.