朱大虎

基本情况

姓名：朱大虎

出生年月：1983年6月

职称：教授

导师类别：博士生导师、硕士生导师

主要研究方向：1.机器人加工；2.视觉测量；3.测量-加工一体化；4.具身智能

工作单位：英国365官方网站

邮箱：dhzhu@whut.edu.cn

教育背景

2011.12-2013.11，华中科技大学，数字制造装备与技术国家重点实验室，博士后

2006.09-2011.11，东华大学，机械制造及其自动化，博士

2002.09-2006.06，湖北工业大学，机械设计制造及其自动化，本科

工作经历

2021.10-至今，  英国365官方网站，英国365官方网站，教授

2016.10-2021.09，英国365官方网站，英国365官方网站，副教授

2013.12-2016.09，英国365官方网站，英国365官方网站，讲师

奖励情况

[1]   排2，汽车复杂铸件机器人高效磨抛关键技术、装备及产业化, 湖北省科技进步一等奖, 2023.

[2]   排3，复杂零件高精度三维视觉测量技术及应用, 教育部技术发明一等奖, 2022.

[3]   排6，两机叶片高效智能加工关键技术研发与应用, 江苏省科学技术一等奖, 2018.

科研项目情况

近年来主持国家科技重大专项、国家重点研发计划、国家自然科学基金、湖北省重点研发计划，以及业委托课题共计20余项。

[1]   2026-2029, “岛式”生产全流程动态优化运行管控软件, 国家科技重大专项课题，主持

[2]   2020-2023，智能工艺设计与执行技术，国家重点研发计划课题，主持

[3]   2024-2027，变形状态下增材修复叶片机器人磨抛视觉重构与轨迹规划，国家自然科学基金面上项目，主持

[4]   2020-2023，视觉引导下基于深度学习的车身点焊焊渣精准检测与自适应磨抛加工技术研究，国家自然科学基金面上项目，主持

[5]   2017-2020，叶片前后缘机器人砂带磨抛加工机理与技术基础研究，国家自然科学基金面上项目，主持

代表性学术成果

在机IEEE汇刊、ROBOT CIM-INT MANUF、J MANUF SYST、J MANUF PROCESS、机械工程学报、中国科学、航空学报等期刊发表论文80余篇，出版专著2部，授权发明专利和著作权50余项。

[1]   Hao Wu, Hongdi Liu, Tao Ding, Lin Hua*, Dahu Zhu*. PAVM: Progressive and Adaptive Variance Minimization Algorithm for Robust Registration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026, 48(3): 2282-2295.

[2]   Dahu Zhu, Hao Wu, Tao Ding, Lin Hua*. Point Cloud Registration-Enabled Globally Optimal Hand–Eye Calibration. IEEE/ASME Transactions on Mechatronics, 2025, 30(4): 2586-2597.

[3]   Yu Zhang, Hongdi Liu, Dahu Zhu*. Human-Inspired Machining Robot Posture Optimization via Multi-Redundant DOFs. IEEE/ASME Transactions on Mechatronics, 2026, 31(1): 312-323.

[4]   Tao Ding, Peng Ouyang, Hongyou Zhang, Xiaozhi Feng, Lin Hua, Dahu Zhu*. 3D Vision-Guided Robotic Grinding Framework for Repairing Random Defects. IEEE Transactions on Automation Science and Engineering, 2025, 22: 15819-15831.

[5]   Tao Ding, Dazhuang Tian, Hao Wu, Dahu Zhu*, Wenlong Li. Two-Stage Hand–Eye Calibration Based on Variance Minimization Principle. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 3539010.

[6]   Tao Ding, Hongyou Zhang, Lin Hua, Dahu Zhu*. Adaptive-Scale Laser Stripe Centerline Extraction for Turbine Blade Surface Reconstruction. IEEE Transactions on Instrumentation and Measurement, 2026, 75: 7000109.

[7]   Hao Wu, Kebao Yan, Li Liu, Lin Hua, Dahu Zhu*. Nonlinear Error Correction for Fringe Projection Profilometry via Shifted-Phase Hilbert Transform. IEEE Transactions on Instrumentation and Measurement, 2026, 75: 7001313.

[8]   Yu Zhang, Minqi He, Dong Han, Shengwei Guo, Shaohua Zhang, Lin Yan, Hongdi Liu*, Dahu Zhu*. Real-Time Coverage Path Planning for Bone-Aware Robotic Ultrasound Scanning. IEEE Robotics and Automation Letters, 2026, 11(4): 4425-4432.

[9]   Shengzhe Wang, Ziyan Xu, Chaoqun Wu, Lin Hua, Dahu Zhu*. Towards region-based robotic machining system from perspective of intelligent manufacturing: A technology framework with case study. Journal of Manufacturing Systems, 2023, 70: 451-463.

[10]Shengzhe Wang, Ziyan Xu, Yidan Wang, Ziyao Tan, Dahu Zhu*. A three-stage framework for accurate detection of high-speed train body paint film defects. Advanced Engineering Informatics, 2024, 62: 102838.

[11]Shengzhe Wang, Ziyao Tan, Yidan Wang, Zhilei Zhou, Dahu Zhu*. A novel paradigm of robotic machining towards embodied intelligent manufacturing: Case study on paint defect repair. Robotics and Computer-Integrated Manufacturing, 2026, 98: 103184.

[12]Xiaozhi Feng, Tao Ding*, Hao Wu, Di Li, Ning Jiang, Dahu Zhu*. Sparse-VMICP: A weak feature point cloud registration algorithm for robotic vision measurement of large complex components. Robotics and Computer-Integrated Manufacturing, 2026, 98: 103175.

[13]Dahu Zhu, Xiaozhi Feng, Xiaohu Xu, Zeyuan Yang, Wenlong Li*, Sijie Yan*, Han Ding. Robotic grinding of complex components: A step towards efficient and intelligent machining–challenges, solutions, and applications. Robotics and Computer-Integrated Manufacturing, 2020,65:101908.

[14]Dazhuang Tian, Hao Wu, Yu Zhang, Kejia Zhuang, Lin Hua, Dahu Zhu*. An optimal reference iteration-based surface reconstruction framework for robotic grinding of additively repaired blade with local deformation. Robotics and Computer-Integrated Manufacturing, 2024, 88: 102737.

[15]Rui Lv, Hongdi Liu, Zhoujun Wang, Dahu Zhu*. WPMAVM: Weighted plus-and-minus allowance variance minimization algorithm for solving matching distortion. Robotics and Computer-Integrated Manufacturing, 2022, 76: 102320.

[16]Yu Zhang, Hongdi Liu, Weikang Cheng, Lin Hua, Dahu Zhu*. A novel trajectory planning method for robotic deburring of automotive castings considering adaptive weights. Robotics and Computer-Integrated Manufacturing, 2024, 86: 102677.

[17]Hongdi Liu, Jiahao Fu, Minqi He, Lin Hua, Dahu Zhu*. GWM-view: Gradient-weighted multi-view calibration method for machining robot positioning. Robotics and Computer-Integrated Manufacturing, 2023, 83: 102560.

[18]Shengzhe Wang, Ziyan Xu, Yidan Wang, Ziyao Tan, Dahu Zhu*. Model-enabled robotic machining framework for repairing paint film defects. Robotics and Computer-Integrated Manufacturing, 2024, 89, 102791.

[19]Yuanjian Lv, Zhen Peng, Chao Qu, Dahu Zhu*. An adaptive trajectory planning algorithm for robotic belt grinding of blade leading and trailing edges based on material removal profile model. Robotics and Computer-Integrated Manufacturing, 2020, 66:101987.

[20]Wenhao Xing, Dazhuang Tian*, Tao Ding, Hao Wu, Lin Hua, Dahu Zhu*. Local trajectory replanning for robotic grinding of remanufactured blade via dual-node force-velocity synergistic strategy. Journal of Manufacturing Processes, 2026, 164: 523-534.

[21]Xiaozhi Feng, Dazhuang Tian, Hao Wu, Chen Qian, Dahu Zhu*. A matrix-solving hand-eye calibration method considering robot kinematic errors. Journal of Manufacturing Processes, 2023, 99: 618-635.

[22]Dazhuang Tian, Kejia Zhuang, Dahu Zhu*. A technology framework for robotic profiling of blade edges based on model reconstruction and trajectory replanning. Journal of Manufacturing Processes, 2023, 94: 214-227.

[23]Dahu Zhu, Weikang Cheng, Yu Zhang, Hongdi Liu*. Multi-camera joint calibration algorithm for guiding machining robot positioning considering ambient light and error uncertainty. Optics and Lasers in Engineering, 2024, 178:108251.

[24]Hao Wu, Dazhuang Tian, Yu Zhang, Tao Ding, Zhenyu Zhong, Zhongren Wang, Lin Hua, Dahu Zhu*. An errors-unidentified hand-eye calibration method via robot relocalization and iterative combinatorial refinement. Measurement, 2024, 226: 114170.

[25]Shuwen Zhang, Minqi He, Zhenyu Zhong, Dahu Zhu*. An industrial interference-resistant gear defect detection method through improved YOLOv5 network using attention mechanism and feature fusion. Measurement, 2023, 221: 113433.

[26]朱大虎, 王升哲, 徐子嫣, 王宜丹, 华林*. 复杂构件缺陷机器人修复加工技术研究进展. 机械工程学报, 2025, 61(11): 1-22.

[27]吴浩, 冯晓志, 华林, 朱大虎*. 基于去伪加权方差最小化算法的大型复杂零部件局部配准全局方法研究. 中国科学:技术科学, 2024, 54(3): 422-442.

[28]朱大虎, 徐小虎, 蒋诚, 李文龙*. 复杂叶片机器人磨抛加工工艺技术研究进展. 航空学报, 2021, 42(10): 524265.

[29]机器人磨抛理论、技术与应用.北京: 化学工业出版社, 2024,排1.

[30]机器人加工视觉测量与力控技术.北京: 科学出版社, 2024,排2.

欢迎数学基础好，对软件算法编程、机器人技术、机器视觉、具身智能等感兴趣的员工报考硕士博士研究生。