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个人简介

王昕,哈尔滨工业大学(深圳)机电与自动化学院教授,博士生导师。2000年3月在吉林大学获得博士学位,2001年10月至2003年7月在香港科技大学从事博士后研究,2003年8月进入哈尔滨工业大学深圳研究生院工作至今,广东省科技特派员,深圳市地方级人才,二十多年来在先进制造与数控技术、水下机器人、医疗机器人、群机器人等相关领域开展了广泛的科学研究工作,先后承担了国家自然科学基金、广东省科技厅、深圳市学科布局及基础研究、企业合作等科技项目20余项,先后发表了相关学术论文80余篇,授权专利20余项。 教育经历 1997 - 2000 吉林大学车辆工程专业,博士学位 1994 - 1997 吉林大学车辆工程专业,硕士学位 1990 - 1994 长春工业大学自动化及电气工程专业,学士学位 研究与工作经历 2001 - 2003 香港科技大学电气工程系,博士后 2003 - 2010 哈尔滨工业大学深圳研究生院机电工程与自动化学院,副教授 2010 - 至今 哈尔滨工业大学(深圳)(原哈尔滨工业大学深圳研究生院)机电工程与自动化学院,教授/博导 科研项目 2022 - 2024 深圳市科技计划技术攻关项目,1000 米级深海工程作业级遥控潜水器ROV 开发 2019 - 2023 国家自然科学基金委员会-深圳市人民政府机器人基础研究中心项目, 高性能工业机器人全局刚柔耦合动力学建模及自适应滑模控制方法研究 2019 - 2021 深圳市科技计划基础研究项目,群体机器人水下目标识别及编队控制方法研究 2018 - 2021 广东省重点领域研发计划,面向精密电子元器件的全自动高速PCB封装点胶设备 2017 - 2020 深圳市科技计划基础研究(学科布局)项目,基于磁电刺激的脑认知障碍诊疗精准医疗设备关键技术研究 2015 - 2017 深圳市科技计划基础研究项目,水下机器人视觉处理系统关键技术研究 2015 - 2017 深圳市科技创新委员会技术攻关项目,重载AGV导航与避障方法的研究 2013 - 2015 深圳市发展与改革委员会,深圳工业机器人技术与系统工程实验室项目 2013 - 2015 深圳市科技计划基础研究项目,电动乘用车多自由度智能换电机器人关键技术研究 2011 - 2013 国家863计划重大项目(现代交通技术领域“电动汽车关键技术与系统集成”子项目),电动汽车充换电站建设标准技术研究 2011 - 2013 国家863计划重大项目(现代交通技术领域“电动汽车关键技术与系统集成”子项目),电池组快速更换系统集成技术研究与装备开发

研究领域

主要研究方向为先进制造光机电领域的自动控制理论与应用技术,包括: - 遥操作和自主水下机器人(ROV 和 AUV)/医疗机器人/特种移动机器人/工业机器人 - 群机器人技术 - 机器学习与视觉伺服技术 - 数控技术与应用/运动控制理论与技术

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Huang J, Lu YH, Xiao ZL, Wang X*. A novel distributed multi-slot TDMA-based MAC protocol for LED-based UOWC networks. Journal of Network and Computer Applications, 2023,Vol. 218(9). doi: 10.1016/j.jnca.2023.103703 Hong L, Wang X* , et al. USOD10K: A New Benchmark Dataset for Underwater Salient Object Detection. IEEE Transactions on Image Procesing, 2023,(4).doi: 10.1109/TIP.2023.3266163 Hong L, Wang X*, et al. Numerical Study on Hydrodynamic Coefficient Estimation of an Underactuated Underwater Vehicle. Journal of Marine Science and Engineering, 2022,10(8),1049. doi:10.3390/jmse10081049. Xiao Z L, Wang X*, and Hong L. Cellular Reaction Gene Regulation Network for Swarm Robots with Pattern Formation Maneuvering Control. Frontiers in Neurorobotics, 2022, 16. doi:10.3389/fnbot.2022.950572 Hong L, Wang X* , Xiao Z, et al. WSUIE: Weakly Supervised Underwater Image Enhancement for Improved Visual Perception. IEEE Robotics and Automation Letters, 2021, 6(4):8237-8244 Xiao Z, Wang X*, Huang J, et al. D-world: decay small-world for optimizing swarm knowledge synchronization. IEEE Access, 2022,10:60060-60077. doi: 10.1109/ACCESS.2022.3174348 Hong L, Fang R, Cai X, Wang X*,Numerical Investigation on Hydrodynamic Performance of a Portable AUV. Journal of Marine Science and Engineering, 2021,9(8),812 Li X P, Wang X*, Feng B. Modeling and Control of a Novel Facade Cleaning Robot with Four-ducted-fan Drive. International Journal of Advanced Robotic Systems, 2020. Ning Z, Wang X*, Wang J, et al. Vehicle pose estimation algorithm for parking automated guided vehicle. International Journal of Advanced Robotic Systems, 2020, 17(1): 1729881419891335. Wang R, Wang X*, Zhu M, et al. Application of a real-time visualization method of AUVs in underwater visual localization. Applied Sciences, 2019, 9(7): 1428. Yang J, Wang X*, Bauer Peter. Extended PSO Based Collaborative Searching for Robotic Swarms with Practical Constraints. IEEE Access, 2019, 7:76328-76341 Lin Z C, Wang X*,Jian Yang. Trajectory tracking control of robotic transcranial magnetic stimulation. International Journal of Intelligent Computing and Cybernetics,2019,12(2). Yang J, Wang X*, Bauer P. Line and V-shape formation based distributed processing for robotic swarms. Sensors, 2018, 18(8): 2543. Yang J, Wang X*, Bauer P. V-shaped formation control for robotic swarms constrained by field of view. Applied Sciences, 2018, 8(11): 2120. Lin Z C, Wang X*, Yang J, et al. Dynamic trajectory-tracking control method of robotic transcranial magnetic stimulation with end-effector gravity compensation based on force sensors. Industrial Robot: An International Journal, 2018, 45(6):722-731. Li X, Wang X*, Chen M. Accurate extraction of outermost biological characteristic curves in tooth preparations with fuzzy regions. Computers in biology and medicine, 2018, 103: 208-219. Yang Jian ,Wang Xin*,Dai ZhenYou; Multiresolution saliency map based object segmentation; Journal of Electronic Imaging, 201511. doi:10.1117/1.JEI.24.6.061205. Dai, Zhenyou, Wang, Xin, Yang, Jian; Approach to sunflicker removal of underwater images; Journal of Electronic Imaging, 201510. doi:10.1117/ 1.JEI.24.6.061206. 会议论文及发表演说 Zhao M, Hong L, Xiao Z L, Wang X*, et al. Subsea Pipeline Inspection Based on Contrast Enhancement Module[C]//International Conference on Intelligent Robotics and Applications. Springer, Cham, 2022: 289-298. Xu H, Hong L, Wang X*, et al. Numerical Investigation on Turbulence Models and the Hydrodynamics of a UVMS[C]//International Conference on Intelligent Robotics and Applications. Springer, Cham, 2022: 299-310. Lu Y, Huang J, Xiao Z, Wang X*, et al. Sample-data Consensus of Position Synchronization in Static Directed Networks[C]//2022 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2022: 202-206. Zhang D A, Ning M, Wang X*, et al. A Novel Aircraft Porthole Cleaning Robot Based on Negative Pressure Suction[C]//2022 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2022: 145-150. Zhang G., Lin Y., Huang J., Hong L., X. Wang*. Hydrodynamic Coefficient Estimation of Small Autonomous Underwater Vehicle. In: Intelligent Robotics and Applications. ICIRA, OCT 22-25, 2021. Lecture Notes in Computer Science, vol 13016. Springer, Cham. X. Liu, X. Wang* and X. Cai. Optimized Underwater Manipulator Path Planning to Minimize the Disturbance on Robot[C]//2021 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2021:456-461. Zeyin Zhao, X. Wang*, Jiafan Chen, Mengzhong Chen. A Generalized Kinematic Error Modeling Method for Serial Industrial Robots Based on Product of Exponentials Formula[C]//2021 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2021:1023-1028 D. Zhang and X. Wang*, Opinion Dynamics Based on Game Theory in Multi-agent Network, The 3rd International Symposium on Robotics & Intelligent Manufacturing Technology ( ISRIMT ), 2021: 282-286. doi: 10.1109/ISRIMT53730.2021.9596899. Y. Chen, W. Xin*, L. ZongJie and S. HuanRan, "No-attachment head tracking method of robotic transcranial magnetic stimulation based on vision sensor," 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), Shenzhen, China, 2020, pp. 1366-1371. Fang R J, Wang X*, Xiao Z L, et al. Underwater Robot Formation Control Based on Leader-Follower Model [C]. Control, Automation, Robotics and Vision Conference, 2020. ICARCV 2020 16th. IEEE, 2020 R. Lan, X. Wang*, Z. Xiao, R. Wang, Y. Lin and R. Fang. Design of Swarm Robots Formation Control System Based on Vision Guidance[C]// 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Hong Kong, China, 2019, pp. 790-795. Zhenlong Xiao, Wang X*. CortexBot: 3D Visual Fusion of Robotic Neuronavigated TMS System, 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS),Shenzhen, China, October 25-27, 2018. Qingpei Zhang, Wang X*. A new head location method in TMS treatment.Distributed Line Formation Control in Swarm Robots[C]//Proc. IEEE International Conference on Information and Automation. Wuyi Mountain, China, 2018. Zhiying Jiang, Wang X*. Distributed Line Formation Control in Swarm Robots[C]//Proc. IEEE International Conference on Information and Automation. Wuyi Mountain, China, 2018:636-641 Zhenlong X., Jiazuan N., Qiong L. Wang X. Liang J*, Study on Automatic Tracking Algorithm of Neurons in MOST Atlas of Mouse Brain Based on Open Curve Snake, 2017 IEEE 4th Intl. Conference on Soft Computing & Machine Intelligence, Republic of Mauritus, 2017.11.23~2017.11.24. Zou Q, Wang X*. A robot navigation method based on laser and 2D code[C]//Information and Automation (ICIA), 2016 IEEE International Conference on. IEEE, 2016: 485-490.(Best paper finalist) Yang J, Wang X*, Bauer P. Formation forming based low-complexity swarms with distributed processing for decision making and resource allocation[C]//Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on. IEEE, 2016: 1-6. Chen H, Wang X*, Xu B. Study on digital display instrument recognition for substation based on pulse coupled neural network[C]//Information and Automation (ICIA), 2016 IEEE International Conference on. IEEE, 2016: 1801-1806. Zou W, Wang X*, Li K, et al. Self-tuning underwater image fusion method based on dark channel prior[C]//Robotics and Biomimetics (ROBIO), 2016 IEEE International Conference on. IEEE, 2016: 788-793. Li K, Wang X*, Zou W, et al. Design of an autonomous underwater vehicle robot based on multi-thrusters and attitude fusion[C]//Information and Automation (ICIA), 2016 IEEE International Conference on. IEEE, 2016: 1420-1425. Li C, Wang X*. Visual localization and object tracking for the NAO robot in dynamic environment[C]//Information and Automation (ICIA), 2016 IEEE International Conference on. IEEE, 2016: 1044-1049. Cui C, Wang X*, Shen H. Improving the face recognition system by hybrid image preprocessing[C]//Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2016 IEEE International Conference on. IEEE, 2016: 442-447. Zhu Y, Wang X*, Xu B. Design of vision-based obstacle crossing of high-voltage line inspection robot[C]//Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2016 IEEE International Conference on. IEEE, 2016: 506-511. Xu B, Wang X*, Zhu Y, et al. Design of obstacle crossing mechanism of high-voltage transmission line inspection robot[C]//Robotics and Biomimetics (ROBIO), 2015 IEEE International Conference on. IEEE, 2015: 2539-2544. Li G, Wang X*, Yang J, et al. A new method to design fuzzy controller for unmanned autonomous forklift[C]//Robotics and Biomimetics (ROBIO), 2015 IEEE International Conference on. IEEE, 2015: 946-951. Zeng J, Wang X*, Yang J, et al. Study on inspection robot for substation based on ultra-wide-band wireless localization system[C]//Information and Automation, 2015 IEEE International Conference on. IEEE, 2015: 191-195. ian Y, Xin W*, Xue Z, et al. Cloud computing and visual attention based object detection for power substation surveillance robots[C]//Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on. IEEE, 2015: 337-342. Sun S Y, Wang X*, Yang X P, et al. Accuracy analysis and calibration of 3-PUS/S parallel battery swapping robot[C]//Information Science and Technology (ICIST), 2014 4th IEEE International Conference on. IEEE, 2014: 543-546.

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