Profile张强，哈尔滨工程大学副教授，英国南安普顿大学访问学者，黑龙江省首批高层次人才。作为项目负责人承担完成国家自然科学基金、国家重点研发计划课题、国家重大专项课题、装备预研及省部级项目多项。获黑龙江省专利金奖、高校科研优秀成果科学技术进步一等奖、船舶与海洋工程行业专利一等奖、中国造船工程学会科学技术一等奖、军队科技进步二等奖。从事AUV海洋物理场具身探测与类脑认知导航、水下机器人深海环境平行感知与大模型基座、仿生AUV总体与具身智能控制等方向研究。
担任《Measurement》、《Ocean Engineering》、《Journal of Ocean Engineering and Science》、《Symmetric》、《机器人》等期刊审稿人。
[1] 程志雄，陈昶雷，董星犴，陶奥飞，李素军，张强，胡庆玉. 自主水下航行器海底地形与重磁场匹配方法 [J]. 哈尔滨工程大学学报，2026, 47 (5): 929-940.
[2] 陶奥飞，蓝锦寿，胡庆玉，董星犴，李素军，程志雄，张强. 基于模型预测控制−中枢模式发生器的仿生机器鱼轨迹跟踪控制 [J]. 哈尔滨工程大学学报，2026, 47 (5): 959-967.
[3] 张强，游子昂，王建，马腾，李晔，等. 水下机器人海底地形主动同步定位与建图具身规划算法 [J]. 哈尔滨工程大学学报，2025, 46 (4): 627-633.
[4] 姜大鹏，庞永杰，李岳明，张强. 人工势场和虚拟结构相结合的多水下机器人编队控制 [J]. 兵工学报，2017, 38 (2): 326-334.
[5] 白继嵩，庞永杰，万磊，张英浩，张强. 基于自适应方法的欠驱动 AUV 地形跟踪控制 [J]. 电机与控制学报，2017, 21 (6): 87-92.
[6] 黄海，张强，张树迪，万磊，等. 欠驱动 AUV 自适应编队控制策略 [J]. 哈尔滨工程大学学报，2015, 36 (5): 633-637, 643.
[7] 张强，孙尧，万磊，李晔. 多普勒测速声呐的自适应 Kalman 滤波算法 [J]. 哈尔滨工程大学学报，2011, 32 (12): 1534-1538.
[8] 孙尧，张强，万磊. 基于自适应 UKF 算法的小型水下机器人导航系统 [J]. 自动化学报，2011, 37 (3): 342-353. DOI: 10.3724/SP.J.1004.2010.00342.
[9] 张强，孙尧，万磊，夏全喜. 低成本 GPS/DR 容错组合导航系统设计 [J]. 中国惯性技术学报，2010, 18 (4): 455-461.
[1] Zhang Q, Yang K K, Lan J S, Shen H L, Jiang Y Q, Li Y. Trajectory tracking control of a biomimetic robotic fish with dual-mode propulsion using an MPC-CPG framework[J]. Ocean Engineering, 2026, 366: 127745. DOI: 10.1016/j. Ocean Engineering. 2026.127745.
[2] Zhang Q, Chen Z, Zhang X. Fisher information matrix metric path planning for USV/AUV cooperative localization[J]. Measurement Science and Technology, 2026, 37. DOI: 10.1088/1361-6501/ae4d76.
[3] Zhang Q, Li S, Chen G, Xu S, Li Y, Yang Z. High-precision underwater 3D measurement system for AUV mapping using binocular multi-line laser[J]. Measurement, 2026, 276: 109000. DOI: 10.1016/j.measurement.2026.121308.
[4] Zheng C, Ma T, Li Y, Yuan M X, Ling Y, Du H H, Qi C, Li Z Y, Xu S, Zhang Q. A storage-saving quadtree-based multibeam bathymetry map representation method[J]. Journal of Marine Science and Engineering, 2023, 11(4): 709. DOI: 10.3390/jmse11040709.
[5] Li Y, He J Y, Zhang Q, Zhang W J, Li Y Y. Predefined-time fault-tolerant trajectory tracking control for autonomous underwater vehicles considering actuator saturation[J]. Actuators, 2023, 12(4): 171. DOI: 10.3390/act12040171.
[6] Huang H, Guo T, Jiang T, Cai F, Niu B, Han X, Zhang Q. Tightly coupled binocular vision-DVL fusion positioning feedback for real-time autonomous sea organism capture[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-14.
[7] Wang R P, Li Y, Ma T, Zheng C, Gong Y S, Jiang Y Q, Zhang Q. A new model and method of terrain-aided positioning confidence interval estimation[J]. Journal of Marine Science and Technology, 2022, 27(1): 27-39. DOI: 10.1007/s00773-021-00805-1.
[8] Ma T, Zhang W J, Li Y, Zhao Y X, Zhang Q, Mei X J, Fan J J. Communication-constrained cooperative bathymetric simultaneous localisation and mapping with efficient bathymetric data transmission method[J]. The Journal of Navigation, 2022, 75(4): 1000-1016. DOI: 10.1017/S0373463321000904.
[9] Ma T, Li Y, Zhao Y X, Jiang Y Q, Zheng C, Zhang Q, Xu S. An AUV localization and path planning algorithm for terrain-aided navigation[J]. ISA Transactions, 2020, 103: 215-227. DOI: 10.1016/j.isatra.2020.04.007.
[10] Ma T, Li Y, Zhao Y X, Zhang Q, Jiang Y Q, Zheng C, Zhang T W. Robust bathymetric SLAM algorithm considering invalid loop closures[J]. Applied Ocean Research, 2020, 102: 102298. DOI: 10.1016/j.apor.2020.102298.
[11] Ma T, Li Y, Gong Y S, Wang R P, Sheng M W, Zhang Q. AUV bathymetric simultaneous localisation and mapping using graph method[J]. The Journal of Navigation, 2019, 72(6): 1602-1622. DOI: 10.1017/S0373463319000286.
[12] Huang H, Zhang G C, Li J Y, Zhang Q, Xu J Y, Qin H D. Model based adaptive control and disturbance compensation for underwater vehicles[J]. Chinese Journal of Mechanical Engineering, 2018, 31: 30. DOI: 10.1186/s10033-018-0218-5.
[13] Li Y, Ma T, Chen P Y, Jiang Y Q, Wang R P, Zhang Q. Autonomous underwater vehicle optimal path planning method for seabed terrain matching navigation[J]. Ocean Engineering, 2017, 133: 107-115. DOI: 10.1016/j.oceaneng.2017.01.026.
[14] Li Y, Ma T, Wang R P, Chen P Y, Zhang Q. Terrain correlation correction method for AUV seabed terrain mapping[J]. The Journal of Navigation, 2017, 70(5): 1062-1078. DOI: 10.1017/S037346331700011X.
[15] Bai J S, Pang L J, Zhang Q. Underwater robots detection based on image segmentation[J]. Acta Technica, 2016, 61(4A): 169-180.
[16] Sheng M W, Zhang Q, Zhang W. A novel wide field image mosaicing approach for the underwater pipelines[J]. ICIC Express Letters, Part B: Applications, 2015, 6(7): 1851-1858.
[17] Wan L, Huang S L, Zhang T D, Zhang Q. Autonomous underwater vehicle tracking pipeline system based on optical images[J]. Chinese Journal of Lasers, 2014, 41(s1): 109006. DOI: 10.3788/cjl201441.s109006.
[1] Wang Z X, Xiao Z Y, Zhang Q, Liao Y L, Li Y, Wang B. Threat Targets Clustering Method of Unmanned Surface Vessel Cluster for Merchant Ship Escort[C]//Proceedings of the 2023 International Conference on Marine Equipment & Technology and Sustainable Development. Singapore: Springer Nature Singapore, 2023: 515-530. DOI: 10.1007/978-981-99-4291-6_37.
[2] Zhang Q, Niu B C, Zhang W, Li Y. Feature-based UKF-SLAM Using Imaging Sonar in Underwater Structured Environment[C]//2018 IEEE 8th International Conference on Underwater System Technology: Theory and Applications (USYS). Piscataway, NJ: IEEE, 2018: 1-5. DOI: 10.1109/USYS.2018.8778989.
[3] Bai J S, Pang Y J, Zhang Y H, Zhang Q, Li Z. Underwater image segmentation method based on MCA and fuzzy clustering with variational level set[C]//OCEANS 2016 MTS/IEEE Monterey. Piscataway, NJ: IEEE, 2016: 1-6. DOI: 10.1109/OCEANS.2016.7761205.
[4] Bai J S, Pang Y J, Zhang Q, Zhang Y H. Underwater Image Segmentation Methods Based on MCA and Adaptive Level Set Evolution[C]//2016 3rd International Conference on Information Science and Control Engineering (ICISCE). Piscataway, NJ: IEEE, 2016: 734-738. DOI: 10.1109/ICISCE.2016.162.
[1] 张强，陈国邦，廖煜雷，李晔，孙玉山，曹建，李岳明，张雯. 一种可重构的水下三维激光扫描系统及方法: ZL202311569818.0 [P]. 2026-05-26.
[2] 张强，蓝锦寿，张雯。一种仿生多模驱动式鱼形水下机器人: ZL202311631768.4 [P]. 2026-05-12.
[3] 张强，陈国邦，李晔，马腾，张雯，曹建，李岳明，姜言清，王博. 一种基于双目多线结构光的水下三维重建方法: ZL202310948944.0 [P]. 2026-03-03.
[4] 张奕贲，张强，蔡俊凯，赵启光，陶奥飞，李素军，董星犴，程志雄，陈昶雷. 一种海参水下仿生捕捞装置及方法: ZL202510268357.6 [P]. 2026-02-06.
[5] 张强，李琦，马腾，廖煜雷，姜言清，张雯，王亮，董星犴. 一种基于贝叶斯滤波的海底地形与重磁的融合匹配方法、程序、设备及存储介质: ZL202411264086.9 [P]. 2025-12-05.
[6] 张强，范彦福，张雯，李晔，祝海涛，张铁栋，沈海龙，王博. 一种 AUV 推位导航系统杆臂误差标校方法: ZL201910365817.1 [P]. 2023-01-03.
[7] 张强，牛伯城，曹旭东，黄传智，俞泽天，张雯，马腾，李晔，姜言清. 一种大潜深 AUV 的定位基阵联合标校方法: ZL202111675884.7 [P]. 2022-11-01.
[8] 张强，曹旭东，牛伯城，马腾，李晔，张雯，黄传智，俞泽天. 一种海底地形导航并行匹配方法: ZL202111492736.1 [P]. 2022-11-01.
[9] 张强，李晔，张雯，曹建，李岳明，姜言清，廖煜雷，李宏伟. 一种大潜深 AUV 下潜定位方法: ZL201910365822.2 [P]. 2022-06-21.
[10] 张强，蔡庆男，牛伯城，曹旭东，黄传智，俞泽天，李晔，马腾，张雯，从正. 适用于 AUV 的海底地形图可导航区自主提取方法: ZL202011521431.4 [P]. 2022-04-19.
[11] 张强，牛伯城，李晔，盛明伟，张雯，隋炎橙，马腾，范彦福，张国成，曹建. 一种基于前视声呐的水下结构化环境线特征提取方法: ZL201711268143.0 [P]. 2021-06-18.
[12] 张强，牛伯城，马腾，李晔，范彦福，黄海，李岳明，张国成，曹建，廖煜雷. 一种启发式的水下结构化环境线特征提取方法: ZL201710972572.X [P]. 2021-05-11.
[1] Xie Y K, Zhang Q. Large-area textile-based piezoresistive sensor array for hull stress distribution mapping [J]. Journal of Materials Science, 2026. DOI.
[2] Xie Y K, Wang W J, Zhao Q G, Zhang Q. ACO-PSO hybrid path planning with pheromone gradient field for smooth and safe robot navigation[C]//2026 8th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI). Piscataway, NJ: IEEE, 2026. DOI: 10.1109/IoTAAI70471.2026.
[3] 张强，肖阳辉，廖煜雷，董星犴，姜言清。基于分布式因子图的 USV-AUV 异构编队全局一致性测深 SLAM 方法 [J]. 中国舰船研究，网络首发. DOI: 10.19693/j.issn.1673-3185.05078.
[4] 张奕贲，张强，蔡俊凯，赵启光，陶奥飞，李素军，董星犴，程志雄，陈昶雷。一种海参水下仿生捕捞装置及方法: ZL202510268357.6 [P]. 2026-02-06.
[5] Zhao Q G, Cai J K, Zhang Y B, Zhang Q. Review of underwater robotics technology in marine fisheries: current status and prospects[C]//8th International Conference on Mechanical, Electric, and Industrial Engineering (MEIE 2025). IET Conference Proceedings, 2025, (30): 214-224. DOI: 10.1049/icp.2025.3267.
[1] 孙玉山主编。海洋机器人导航理论基础 [M]. 北京：科学出版社，2024. ISBN: 9787030803221.（张强参编）
[2] 李晔，马腾，张强，等。智能水下机器人测深信息同步定位与建图技术 [M]. 北京：科学出版社，2021. ISBN: 9787030644701.
[3] 张强，张雯。水下机器人导航技术 [M]. 北京：科学出版社，2019. ISBN: 9787030612601.
