School of Civil Engineering
Professor
Professor
Civil Engineering
tianyu_zhou@tju.edu.cn
Dr. Zhou Tianyu is an Elite Professor and doctoral supervisor at the School of Civil Engineering, Tianjin University. He has been selected for the National High-Level Overseas Young Talents Program (Excellent Youth). He received his B.E. degree from Dalian University of Technology in 2017, his M.S. degree from the University of Florida in 2019, and his Ph.D. in Civil and Coastal Engineering from the same university in 2023, where he subsequently worked as a postdoctoral researcher. His research primarily focuses on embodied intelligence, construction robotics, human-robot collaboration, teleoperation, multi-modal perception, digital twins, and intelligent construction.
Addressing critical challenges in complex engineering environments—such as robots’ difficulties in “seeing clearly, understanding correctly, acting properly, and coordinating effectively”—he conducts research on environment perception, task understanding, autonomous decision-making, dexterous manipulation, and safe human-robot collaboration for construction robots. His work aims to promote deep interdisciplinary integration of robotics, artificial intelligence, and civil engineering. The resulting technologies are applied in building construction, infrastructure inspection, ocean engineering, disaster emergency response, and extreme-environment operations.
Dr. Zhou has participated in multiple research projects funded by the U.S. National Science Foundation, NASA, and the National Institute of Standards and Technology. He has published numerous academic papers in the fields of construction robotics, human-robot interaction, intelligent construction, and safety science, and holds several related patents. His research emphasizes the integration of fundamental theory, key technologies, and engineering applications, with a commitment to developing intelligent robotic systems that address real-world engineering needs.
Our research group is looking for master's and PhD students who are interested in the intersection of artificial intelligence, robotics, and civil engineering. The main research areas include:
Engineering robotics and embodied intelligence;
Robot autonomous navigation, task planning, and dexterous manipulation;
Human-robot collaboration, robot teleoperation, and shared control;
Computer vision and multimodal perception;
Tactile perception, haptic interaction, and intelligent manipulation;
Digital twins, virtual reality, and mixed reality;
Intelligent construction and construction robotics;
Smart inspection and operation of infrastructure;
Smart disaster prevention in buildings, intelligent evacuation, and robotic rescue;
Human factors engineering, cognitive state recognition, and operational safety.
We welcome students with backgrounds in civil engineering, intelligent construction, mechanical engineering, automation, computer science, artificial intelligence, electronic information, and related fields. We hope students have strong research interests, a sense of responsibility, and teamwork skills. Preference will be given to those with experience in robotics, programming, machine learning, computer vision, embedded systems, 3D modeling, or experimental research.
Contact: tianyu_zhou@tju.edu.cn
- Doctoral degree| University of Florida| Civil Engineering| 2026
- Master’s Degree| University of Florida| Mechanical Engineering| 2019
- Bachelor’s Degree| Dalian University of Technology| Process Equipment and Control Engineering| 2017
- Human Factors Engineering and Immersive Intelligent Interaction
- Digital Twin and Intelligent Construction
- Multi-modal Perception and Intelligent Interaction
- Human-Robot Collaboration and Teleoperation
- Embodied Intelligence and Engineering Robotics for Complex Engineering Scenarios
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2023.6-2026.3
 University of Florida | Post-Doctoral Associate 
- Papers
- [1] Zhu, Q., Xiang Xia, P., Zhou, T. and Du, J. (2021). ”Snake Robot In-Pipe Teleoperation System with Upper-Body Haptic Simulator.” The 2021 ASCE International Conference on Computing in Civil Engineering (i3CE) (pp. 1110-1118).
- [2] Zhou, T., Zhu, Q. and Du, J. (2021). ”Human-Like Bilateral Robotic Arm Controls for Remote Pipe Maintenance.” The 2021 ASCE International Conference on Computing in Civil Engineering (i3CE) (pp. 1050-1058).
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- [3] Zhou, T., Wang, Y. and Du, J. (2022). ”Human Intent Prediction in Human-Robot Collaboration—A Pipe Maintenance Example.” 2022 ASCE Construction Research Congress (CRC 2022) (pp. 581-590).
- [4] Xia, P., You, H., Zhou, T. and Du, J. (2023). ”VR Human Body Motion and Hand Gesture Control for ROV Teleoperation.” The 2023 ASCE International Conference on Computing in Civil Engineering (i3CE) (pp. 488-495).
- [5] Zhou, T., Xia, P., Ye, Y. and Du, J. (2023). ”Haptic Augmentation System for Construction Robot Teleoperation.” The 2023 ASCE International Conference on Computing in Civil Engineering (i3CE) (pp. 496-504).
- [6] Ye, Y., Uthai, T., Xia, P., Zhou, T., and Du, J. (2024) ”User Experience and Workload Evaluation in RobotAssisted Virtual Reality Welding Training.” The 2024 ASCE Construction Research Congress (CRC 2024) (pp. 99-108).
- [7] Zhou, T., Ye, Y., Zhu, Q., Vann, W., and Du, J.. (2025) ”Neurofunctional Insights into Haptic and Visual Feedback Delays in Robot Teleoperation.” In Computing in Civil Engineering 2024 (i3CE 2024) (pp. 603-612).
- [8] Zhou, T., Zhu, Q. and Du, J. (2020). ”Intuitive Robot Teleoperation for Civil Engineering Operations with Virtual Reality and Deep Learning Scene Reconstruction.” ELSEVIER Advanced Engineering Informatics, 46, p.101170.
- [9] Zhu, Q., Zhou, T. and Du, J. (2022). ”Upper-Body Haptic System for Snake Robot Teleoperation in Pipelines.” ELSEVIER Advanced Engineering Informatics, 51, p.101532.
- [10] Xia, P., Xu, F., Zhou, T. and Du, J. (2022). ”Benchmarking Human versus Robot Performance in Emergency Structural Inspection.” ASCE Journal of Construction Engineering and Management, 148(8), p.04022070.
- [11] Xia, X., Zhou, T., Du, J. and Li, N. (2022). ”Human Motion Prediction for Intelligent Construction: A Review.” ELSEVIER Automation in Construction, 142, p.104497.
- [12] Zhu, Q., Zhou, T., Xia, P. and Du, J. (2022). ”Robot Planning for Active Collision Avoidance in Modular Construction: Pipe Skids Example.” ASCE Journal of Construction Engineering and Management, 148(10), p.04022114.
- [13] Zhu, Q., Zhou, T. and Du, J. (2022). ”Haptics-Based Force Balance Controller for Tower Crane Payload Sway Controls.” ELSEVIER Automation in Construction, 144, p.104597.
- [14] Zhou, T., Wang, Y., Zhu, Q. and Du, J. (2022). ”Human Hand Motion Prediction Based on Feature Grouping and Deep Learning: Pipe Skid Maintenance Example.” ELSEVIER Automation in Construction, 138, p.104232.
- [15] Zhou, T., Zhu, Q., Shi, Y. and Du, J. (2022). ”Construction Robot Teleoperation Safeguard Based on Real-Time Human Hand Motion Prediction.” ASCE Journal of Construction Engineering and Management, 148(7), p.04022040.
- [16] You, H., Ye, Y., Zhou, T., Zhu, Q. and Du, J. (2023). ”Robot-Enabled Construction Assembly with Automated Sequence Planning based on ChatGPT: RoboGPT.” Buildings, 13(7), p.1772.
- [17] Ye, Y., Zhou, T. and Du, J. (2023). “Robot-Assisted Immersive Kinematic Experience Transfer for Welding Training.”ASCE Journal of Computing in Civil Engineering, 37(2), p.04023002
- [18] Vann, W., Zhou, T., Zhu, Q. and Du, J. (2023).“Enabling Automated Facility Maintenance from Articulated Robot Collision-Free Designs.”ELSEVIER Advanced Engineering Informatics, 55, p.101820
- [19] Ye, Y., Xia, P., Zhou, T. and Du, J. (2023). “Spatial Memory of BIM and Virtual Reality: A Mental Mapping Study.”ASCE Journal of Construction Engineering and Management 149(7), p.04023042.
- [20] Zhou, T., Zhu, Q., Ye, Y. and Du, J. (2023).“Humanlike Inverse Kinematics for Improved Spatial Awareness in Construction Robot Teleoperation: Design and Experiment.”ASCE Journal of Construction Engineering and Management, 149(7), p.04023044.
- [21] Zhou, T., Xia, P., Zhu, Q. and Du, J. (2023).“Cognition-Driven Navigation Assistive System for Emergency Indoor Wayfinding (CogDNA): Proof of Concept and Evidence.”ELSEVIER Safety Science, 162, p.106100.
- [22] Zhou, T., Xia, P., Ye, Y. and Du, J. (2023). “Embodied Robot Teleoperation based on High-Fidelity Haptic Simulator: Pipe Fitting Example.”ASCE Journal of Construction Engineering and Management 149(12), p.04023129.
- [23] Xu, F., Zhou, T., You, H. and Du, J. (2024). “Improving indoor wayfinding with AR-enabled egocentric cues: A comparative study.”ELSEVIER Advanced Engineering Informatics, 59, p.102265.
- [24] Du, J., Vann, W., Zhou, T., Ye, Y. and Zhu, Q. (2024). ”Sensory Manipulation as a Countermeasure to Robot Teleoperation Delays: System and Evidence.” Scientific Reports, 14(1), p.4333
- [25] Xia, P., Zhou, T., Ye, Y. and Du, J. (2024). “Autonomy Assistant System for ROV Shared Control.”ASCE Journal of Computing in Civil Engineering, 38(4), p.04024015.
- [26] Xu, F., Zhou, T., Nguyen, T., and Du, J. (2024). “Augmented reality in team-based search and rescue: Exploring spatial perspectives for enhanced navigation and collaboration.”Safety Science,, 176, p.106556.
- [27] You, H., Zhou, T., Zhu, Q., Ye, Y. and Du, J. (2024). “Embodied AI for Dexterity-Capable Construction Robots: DEXBOT Framework.”ELSEVIER Advanced Engineering Informatics, 62, p.102572.
- [28] Zhou, T., Ye, Y., Zhu, Q., Vann, W. and Du, J. (2024). ”Neural Dynamics of Delayed Feedback in Robot Teleoperation: Insights from fNIRS Analysis.” Frontiers in Human Neuroscience, 18, p.1338453.
- [29] Xu, F., Zhou, T., Nguyen, T., Bao, H., Lin, C., and Du, J. (2025). “Integrating augmented reality and LLM for enhanced cognitive support in critical audio communications.”ELSEVIER International Journal of Human-Computer Studies,, 194, p.103402.
- [30] Uthai, T., Zhou, T., Ye, Y., You, H., and Du, J. (2025). “Haptics-Based Robot Teleoperation for Soft Object Manipulation.”ASCE Journal of Construction Engineering and Management, 151(5), p.04025028.
- [31] Lee, D., Pruitt, J., Zhou, T., Du, J., and Odegaard, B. (2025). ”Metacognitive sensitivity: The key to calibrating trust and optimal decision making with AI.” PNAS nexus, 4(5), p.pgaf133.
- [32] Xu, F., You, H., Zhou, T., and Du, J. (2025). ”Augmented Reality Robot Manipulation with Physical Mock-up and Improved Spatial Cognition.” ELSEVIER International Journal of Human-Computer Studies, p.103658.
- [33] Zhou, T., You, H., Xu, F., and Du, J. (2025). ”Data: WireFishing-M: A multimodal dataset for deformable cable insertion using tactile, visual, and proprioceptive sensing.” ELSEVIER Data in Brief, p.112136.
- [34] Xu, F., Zhou, T., You, H., Wu, J., Ledgerwood, S., and Du, J. (2026) ”Cognitive Load in AR-Supported Indoor Wayfinding Performance: A Correlation study.” Developments in the Built Environment, p.100865.
- [35] Wu, J., Sun, B., Zhou, T., Xu, F., and Du, J. (2026) ”Enhancing human-AI trust through multimodal feedback: A study of visual, haptic, and auditory augmentation in drone shared autonomy.” Computers in Human Behavior Reports, 21, p.100959.
- [36] You, H., Zhou, T., Wu, J., and Du, J. (2026) ”TeBi-Llama: Temporal Binding Foundation Model for Material Property Recognition via Tactile Sequence Perception.” Journal of Construction Engineering and Management, 152(4), p.04026024.





