
周天语
- 教师拼音名称:Zhou Tianyu
- 职务:菁英教授
- 性别:男
- 职称:教授
- 所属院系:建筑工程学院
- acd8739473df3a34d5a29a9fac0fb995e2b4b3e38afe9530c37f756c46bf52bee8efcb138d7c40806665f5d3ea32b6f00d34039b896e1ca158fd14fb55376b860c4afc6aa19a45ae609de022f59578bd1e48fb37f81eddb33e6a76a49a8875ae5b6f81bb886e0d6bfc94fda991845cebfdd2035b037aa984940dcbfcc4f82789
-
· 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.
-
· 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.
-
· 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.
-
· 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.
-
· 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.
-
· 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.
-
· 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.
-
· 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.
-
· 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.
-
· 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