仿生机器人，智能控制，环境感知认知

1.         Z. Zhang, C. Zhou*, L. Cheng, X. Wang, and M. Tan, “Real-time velocity vector resolving of artificial lateral line array with fishlike motion noise suppression,” IEEE Transactions on Robotics, vol. 39, no. 6. pp. 4350–4365, 2023.

2.         X. Liao, C. Zhou*, L. Cheng, J. Wang, J. Fan, and Z. Zhang, “A fast online elastic-spine-based stiffness adjusting mechanism for fishlike swimming,” Soft Robotics, vol. 11, no. 6. pp. 935–945, 2024.

3.         Y. Ou, J. Fan, C. Zhou* et al., “Structured light-based underwater collision-free navigation and dense mapping system for refined exploration in unknown dark environments,” IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2024.

4.         C. Zhou et al., “A closed-loop controlled nanomanipulation system for probing nanostructures inside scanning electron microscopes,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 3. pp. 1233–1241, 2016.

5.         X. Wang, C. Zhou*, J. Wang, et al., “A Fish-Like Propeller Integrated With Magnetorheological Shear Damping and Elastic Components,” IEEE/ASME Transactions on Mechatronics. 2025.

6.         P. Shuai, H. Li, C. Zhou*, et al., “Mapping and Localization in Unknown Underwater Electric Field Using Passive Electric Sense System,” IEEE Transactions on Instrumentation and Measurement. 2025.

7.         Z. Zhang, C. Zhou*, L. Cheng, J. Fan, and M. Tan, “Artificial Lateral Line Sensor for Robotic Fish Speed Measurement Based on Surface Flow Field Detection and Turbulence Noise Suppression,” IEEE Transactions on Automation Science and Engineering. 2024.

8.         Y. Ou, J. Fan, C. Zhou*, P. Zhang, and Z. G. Hou, “Hybrid-VINS: Underwater Tightly Coupled Hybrid Visual Inertial Dense SLAM for AUV,” IEEE Transactions on Industrial Electronics. 2024.

9.         B. Lu, J. Wang, Q. Zou, J. Fan, and C. Zhou*, “Towards power cost analysis and optimization of a multi-flexible robotic fish,” Ocean Engineering, vol. 294. pp. 116746–116746, 2024.

10.      X. Wang, C. Zhou*, J. Wang, J. Fan, Z. Zhang, and M. Tan, “Toward propulsive performance evaluation of a robotic tuna based on the damping-elastic composite mechanism,” IEEE/ASME Transactions on Mechatronics, vol. 29, no. 3. pp. 1809–1819, 2023.

11.      X. Wang, C. Zhou*, et al., “CMBUV: A composite-mechanism bioinspired underwater vehicle integrated with elasticity and shear damping possesses high-performance capability,” IEEE Transactions on Intelligent Vehicles, vol. 9, no. 1. pp. 1628–1640, 2023.

12.      Y. Ou, J. Fan, C. Zhou*, L. Cheng, and M. Tan, “Water-MBSL: Underwater movable binocular structured light-based high-precision dense reconstruction framework,” IEEE Transactions on Industrial Informatics, vol. 20, no. 4. pp. 6142–6154, 2023.

13.      Y. Ou, J. Fan, C. Zhou*, S. Tian, L. Cheng, and M. Tan, “Binocular structured light 3-D reconstruction system for low-light underwater environments: Design, modeling, and laser-based calibration,” IEEE Transactions on Instrumentation and Measurement, vol. 72. pp. 1–14, 2023.

14.      X. Liao, C. Zhou*, J. Wang, and M. Tan, “A wire-driven dual elastic fishtail with energy storing and passive flexibility,” IEEE/ASME Transactions on Mechatronics, vol. 29, no. 3. pp. 1914–1925, 2023.

15.      B. Lu, C. Zhou*, J. Wang, Z. Zhang, and M. Tan, “Toward swimming speed optimization of a multi-flexible robotic fish with low cost of transport,” IEEE Transactions on Automation Science and Engineering, vol. 21, no. 3. pp. 2804 - 2815, 2023.

16.      J. Fan, X. Wang, C. Zhou*, P. Zhang, F. Jing, and Z. Hou, “Structured light vision 3-D reconstruction system for different media considering refraction: Design, modeling, and calibration,” IEEE/ASME Transactions on Mechatronics, vol. 29, no. 3. pp. 1997–2008, 2023.

17.      J. Fan, X. Wang, C. Zhou*, Y. Ou, F. Jing, and Z. Hou, “Development, calibration, and image processing of underwater structured light vision system: A survey,” IEEE Transactions on Instrumentation and Measurement, vol. 72. pp. 1–18, 2023.

18.      C. Zhou, Z. G. Hou, Z. Cao, S. Wang, and M. Tan, “Motion modeling and neural networks based yaw control of a biomimetic robotic fish,” Information Sciences, vol. 237. pp. 39–48, 2013.

19.      C. Zhou, Z. Cao, Z. G. Hou, S. Wang, and M. Tan, “Backward swimming gaits for a carangiform robotic fish,” Neural Computing and applications, vol. 23. pp. 2015–2021, 2013.

20.      C. Zhou, Z. Cao, S. Wang, and M. Tan, “The design, modelling and implementation of a miniature biomimetic robotic fish,” International Journal of Robotics &Automation, vol. 25, no. 3. pp. 210–210, 2010.

21.      C. Zhou, Z. Q. Cao, S. Wang, and M. Tan, “A marsupial robotic fish team: Design, motion and cooperation,” Science China Technological Sciences, vol. 53. pp. 2896–2904, 2010.

22.      Z. Gong, BK. Chen, J. Liu, C. Zhou et al., “Fluorescence and SEM correlative microscopy for nanomanipulation of subcellular structures,” Light: Science &Applications 3, e224 pp. 224, 2014.

23.      J. Fan, X. Liu, Y. Ou, P. Zhang, C. Zhou, and Z. Hou, “Underwater Robot Self-Localization Method Using Tightly Coupled Events, Images, Inertial, and Acoustic Fusion,” IEEE Transactions on Industrial Electronics. 2024.

24.      Q. Zou, C. Zhou*, C. Zhu, Z. Zhang, and J. Fan, “Quantitative Analysis of Fish-Like Propulsion Mechanisms Based on the Discrete Vortex Method,” IEEE Robotics and Automation Letters. 2025.

25.      L. Deng, C. Zhou*, et al., “Modeling and control of a sperm-inspired robot with helical propulsion,” Bioinspiration &Biomimetics, vol. 20, no. 2. pp. 26007–26007, 2025.

26.      C. Zhu, C. Zhou* et al., “Optimization of a passive roll absorber for robotic fish based on tune mass damper,” Bioinspiration &Biomimetics, vol. 20, no. 1. pp. 16011–16011, 2024.

27.      C. Zhu, C. Zhou*, Q. Zou, et al., “A variable stiffness fishlike propeller with compressible flexible bionic spine,” Ocean Engineering, vol. 316. pp. 119780–119780, 2025.

28.      Q. Zou, C. Zhou*, C. Zhu, Z. Zhang, and J. Fan, “Discrete vortex method-based fish-like locomotion modeling,” IEEE Journal of Oceanic Engineering, vol. 49, no. 2. pp. 390–402, 2024.

29.      X. Wang, C. Zhou*, J. Wang, J. Fan, Z. Zhang, and W. Chang, “Steering characteristics and path following control of a bionic underwater vehicle with multiple locomotion modes,” Nonlinear Dynamics, vol. 113, no. 2. pp. 1279–1299, 2025.

30.      B. Lu, J. Wang, X. Liao, Q. Zou, M. Tan, and C. Zhou*, “A performance optimization strategy based on improved NSGA-II for a flexible robotic fish,” 2023 IEEE International Conference on Robotics and Automation (ICRA). pp. 1120–1126, 2023.

31.      X. Liao, C. Zhou*, J. Wang, J. Fan, and Z. Zhang, “A wire-driven elastic robotic fish and its design and cpg-based control,” Journal of Intelligent &Robotic Systems, vol. 107, no. 1. pp. 4–4, 2023.

32.      X. Fan, S. Deng, Z. Wu, J. Fan, and C. Zhou, “Spatial domain image fusion with particle swarm optimization and lightweight AlexNet for robotic fish sensor fault diagnosis,” Biomimetics, vol. 8, no. 6. pp. 489–489, 2023.

33.      X. Fan, S. Deng, J. Fan, C. Zhou,et al., “Fault Diagnosis for Robotic Fish Sensors Based on Spatial Domain Image Fusion and Convolution Neural Network,” 2023 42nd Chinese Control Conference (CCC). pp. 5088–5093, 2023.

34.      J. Fan, Y. Ou, X. Li, C. Zhou, and Z. Hou, “Structured light vision based pipeline tracking and 3D reconstruction method for underwater vehicle,” IEEE Transactions on Intelligent Vehicles, vol. 9, no. 2. pp. 3372–3383, 2023.

35.      L. Deng, C. Zhou*, J. Wang, J. Fan, X. Liao, and C. Zhu, “Design and modeling of a sperm-inspired helical propulsion robot,” IEEE Robotics and Automation Letters, vol. 8, no. 12. pp. 8168–8175, 2023.

36.      Q. Zou, C. Zhou*, B. Lu, X. Liao, and Z. Zhang, “Tail-stiffness optimization for a flexible robotic fish,” Bioinspiration &Biomimetics, vol. 17, no. 6. pp. 66003–66003, 2022.

37.      C. Zhu, L. Deng, X. Wang, Z. Yin, and C. Zhou*, “Design and modeling of elastic variable stiffness robotic fish tail,” 2022 IEEE International Conference on Mechatronics and Automation (ICMA), 2022.

38.      H. Yang, S. Tian, J. Fan, Y. Han, C. Zhou*, and Y. Ou, “A precise calibration method for the underwater binocular camera with unknown refractive index,” IEEE Sensors Journal, vol. 23, no. 2. pp. 1565–1574, 2022.

39.      X. Wang, C. Zhou*, and J. Wang, “The composite mechanism of damping and elasticity for a fish-like flexible propeller,” Ocean Engineering, vol. 266. pp. 112642–112642, 2022.

40.      X. Wang, J. Fan, S. Deng, Z. Wu, C. Zhou, et al., “An underwater structured light vision calibration method considering unknown refractive index based on Aquila optimizer,” IEEE Transactions on Instrumentation and Measurement, vol. 72. pp. 1–12, 2022.

41.      X. Wang, L. Deng, C. Zhu, Z. Yin, J. Wang, and C. Zhou*, “Dynamic modeling of the tuna-inspired robotic fish based on the elastic-damping mechanism,” 2022 IEEE International Conference on Mechatronics and Automation (ICMA) 2022.

42.      X. Liao, C. Zhou*, Q. Zou, J. Wang, and B. Lu, “Dynamic modeling and performance analysis for a wire-driven elastic robotic fish,” IEEE Robotics and Automation Letters, vol. 7, no. 4. pp. 11174–11181, 2022.

43.      Q. Zou, B. Lu, Y. Fu, X. Liao, Z. Zhang, and C. Zhou*, “Dynamic modeling and optimization of robotic fish based on passive flexible mechanism,” 2021 IEEE International Conference on Mechatronics and Automation (ICMA) 2021.

44.      Z. Zhang, C. Zhou* et al., “A FUSION MEASUREMENT METHOD FOR NANO-DISPLACEMENT BASED ON KALMAN FILTER AND NEURAL NETWORK,” International Journal of Robotics and Automation, vol. 36. 2021.

45.      Z. Zhang, C. Zhou* et al., “A speed measurement method for underwater robots using an artificial lateral line sensor,” Smart Materials and Structures, vol. 31, no. 1. pp. 15011–15011, 2021.

46.      M. Ouyang, Z. Cao, P. Guan, Z. Li, C. Zhou, and J. Yu, “Visual-gyroscope-wheel odometry with ground plane constraint for indoor robots in dynamic environment,” IEEE Sensors Letters, vol. 5, no. 3. pp. 1–4, 2021.

47.      Y. Ou, Z. Zhang, C. Zhou*, and B. Zhou, “Data Calibration Algorithm for Artificial Lateral Line Sensor of Robotic Fish on Improved LSTM,” 2021 40th Chinese Control Conference (CCC). pp. 4308–4314, 2021.

48.      Z. Lu, J. Fan, Z. Hou, S. Deng, C. Zhou, and F. Jing, “Automatic 3D seam extraction method for welding robot based on monocular structured light,” IEEE Sensors Journal, vol. 21, no. 14. pp. 16359–16370, 2021.

49.      B. Lu, C. Zhou, J. Wang, Y. Fu, L. Cheng, and M. Tan, “Development and stiffness optimization for a flexible-tail robotic fish,” IEEE Robotics and Automation Letters, vol. 7, no. 2. pp. 834–841, 2021.

50.      X. Liao, Y. Fu, B. Lu, Q. Zou, Z. Zhang, and C. Zhou*, “An elastic biomimetic fish tail and its undulation fitting method of body wave,” 2021 IEEE International Conference on Mechatronics and Automation (ICMA) 2021.

51.      P. Guan, Z. Cao, J. Yu, C. Zhou, and M. Tan, “Scene coordinate regression network with global context-guided spatial feature transformation for visual relocalization,” IEEE Robotics and Automation Letters, vol. 6, no. 3. pp. 5737–5744, 2021.

52.      Y. Fu, B. Lu, X. Liao, Q. Zou, Z. Zhang, and C. Zhou*, “A Combined Indoor Self-positioning Method for Robotic Fish Based on Multi-sensor Fusion,” 2021 IEEE International Conference on Mechatronics and Automation (ICMA) 2021.

53.      Y. Fu, X. Liao, B. Lu, Q. Zou, Z. Zhang, Y. Ou, C. Zhou*,et al., “Adaptive fusional localization for robot fish based on dynamic-weight fuzzy inference,” 2021 China Automation Congress (CAC). pp. 2357–2362, 2021.

54.      J. Fan, S. Deng, Y. Ma, C. Zhou, F. Jing, and M. Tan, “An Appliance Load Disaggregation Scheme Using Automatic State Detection Enabled Enhanced Integer Programming,” IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, vol. 17, no. 2. pp. 1220–1230, 2021.

55.      Z. Du, C. Zhou*, Z. Cao, S. Wang, L. Cheng, and M. Tan, “A neural network-based model predictive controller for displacement tracking of piezoelectric actuator with feedback delays,” International Journal of Advanced Robotic Systems, vol. 18, no. 6. pp. 2147483647–2147483647, 2021.

56.      L. Cheng, W. Liu, C. Zhou, Y. Zou, and Z. G. Hou, “Automated silicon-substrate ultra-microtome for automating the collection of brain sections in array tomography,” IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 2. pp. 389–401, 2021.

57.      Y. Zhou, Y. Wu, C. Zhou, P. Zhang, and Z. Wu, “Moving target tracking control of a biomimetic robotic fish,” 2020 Chinese Automation Congress (CAC). pp. 3961–3965, 2020.

58.      T. Zhang, Z. Du, C. Zhou, Z. Cao, S. Wang, and L. Cheng, “Micro-displacement Amplifying Mechanism of a Piezoelectric Single Crystal Actuator and Its Motion Characterization,” 2020 IEEE International Conference on Mechatronics and Automation (ICMA) 2020.

59.      C. Qiu, S. Kong, C. Zhou, and J. Yu, “Design of Cascade Control Framework for ROV Control and Simulation,” 2020 IEEE International Conference on Mechatronics and Automation (ICMA) 2020.

60.      J. Fan, S. Deng, Y. Ma, C. Zhou, F. Jing, and M. Tan, “Seam feature point acquisition based on efficient convolution operator and particle filter in GMAW,” IEEE transactions on industrial informatics, vol. 17, no. 2. pp. 1220–1230, 2020.

61.      S. Du, C. Zhou, J. Yu, and Z. Wu, “A modified line-of-sight method for path tracking applied to robotic fish,” 2020 IEEE International Conference on Mechatronics and Automation (ICMA) 2020.

62.      S. Dai, C. Zhou, Z. Wu, M. Tan, and J. Yu, “Line-of-sight strategy-based path-following system for a multi-joint robotic fish,” 2020 IEEE International Conference on Real-time Computing and Robotics (RCAR) 2020.

63.      T. Zhang, Z. Du, C. Zhou, et al., “Piezoelectric single crystal-based nano-scale actuator and its amplifying mechanism,” 2019 IEEE International Conference on Mechatronics and Automation (ICMA) 2019.

64.      B. Lu, Y. Fu, Q. Zou, S. Deng, and C. Zhou, “Design of a Robotic Fish Based on a Passive Flexible Mechanism*,” 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 2043, 2019.

65.      J. Fan, S. Deng, F. Jing, C. Zhou, et al., “An initial point alignment and seam-tracking system for narrow weld,” IEEE Transactions on Industrial Informatics, vol. 16, no. 2. pp. 877–886, 2019.

66.      Z. Du, C. Zhou, T. Zhang, L. Deng, Z. Cao, and L. Cheng, “A measuring method for nano displacement based on fusing data of self-sensing and time-digit-conversion,” IEEE Access, vol. 7. pp. 183070–183080, 2019.

67.      Z. Zhang, Z. Du, L. Deng, C. Zhou et al., “A Fusion Measurement Method Based on Kalman Filter with Improved State Block and Neural Network for Nanometer Displacement,” 2018 IEEE International Conference on Mechatronics and Automation (ICMA) 2018.

68.      Y. Yu, Z. Wu, Z. Cao, L. Pang, L. Ren, and C. Zhou, “A laser-based multi-robot collision avoidance approach in unknown environments,” International Journal of Advanced Robotic Systems, vol. 15, no. 1, 2018.

69.      X. Meng, Z. Cao, S. Liang, L. Pang, S. Wang, and C. Zhou, “A terrain description method for traversability analysis based on elevation grid map,” International Journal of Advanced Robotic Systems, vol. 15, no. 1, 2018.

70.      Z. Cao, X. Liu, C. Zhou, M. Tan, and K. Ai, “Method for detecting horizontal and gravity directions of an image,” US Patent 9,886,775. 2018.

71.      T. Zhang, Z. Du, C. Zhou et al., “Motion characterization of a relaxor-based single crystals actuator for Na-nomanipulation system,” 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), pp. 745-749, 2017.

72.      J. Yuan, Z. Wu, J. Yu, C. Zhou, and M. Tan, “Design and 3D motion modeling of a 300-m gliding robotic dolphin,” IFAC-PapersOnLine, vol. 50, no. 1. pp. 12685–12690, 2017.

73.      L. Xu, Z. Cao, P. Zhao, and C. Zhou, “A new monocular vision measurement method to estimate 3D positions of objects on floor,” International Journal of Automation and Computing, vol. 14, no. 2. pp. 159–168, 2017.

74.      Z. Wu, Z. Cao, Y. Yu, L. Pang, C. Zhou, and E. Chen, “A multi-robot cooperative hunting approach based on dynamic prediction of target motion,” 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO). pp. 587–592, 2017.

75.      L. Ren, Y. Yu, Z. Cao, Z. Wu, J. Yu, C. Zhou, M. Tan, “An optimal task allocation approach for large-scale multiple robotic systems with hierarchical framework and resource constraints,” IEEE Systems Journal, vol. 12, no. 4. pp. 3877–3880, 2017.

76.      L. Pang, L. Zhang, Y. Yu, J. Yu, Z. Cao, and C. Zhou, “A human-following approach using binocular camera,” 2017 IEEE International Conference on Mechatronics and Automation (ICMA) 2017.

77.      W. Johnson, C. Dai, J. Liu, X. Wang, DK. Luu, Z. Zhang, C. Ru, C. Zhou, et al. “A flexure-guided piezo drill for penetrating the zona pellucida of mammalian oocytes,” IEEE Transactions on Biomedical Engineering, vol. 65, no. 3. pp. 678–686, 2017.

78.      Q. Jia, C. Zhou, L. Deng, Z. Du, and Z. Cao, “Research on nanoscale displacement online modeling and control of PCA,” 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1545, 2017.

79.      B. Zhang, H. Li, X. Wang, J. Yu, C. Zhu, and C. Zhou, “Design and Modeling of a Variable Stiffness Fish Tail with PCL Material,” 2024 36th Chinese Control and Decision Conference (CCDC). pp. 330–335, 2024.

80.      Z. Du, T. Zhang, L. Deng, C. Zhou, Z. Cao, and S. Wang, “A charge-amplifier based self-sensing method for measurement of piezoelectric displacement,” 2017 IEEE International Conference on Mechatronics and Automation (ICMA), 2017.

81.      X. Chen, Z. Wu, C. Zhou, and J. Yu, “Design and implementation of a magnetically actuated miniature robotic fish,” IFAC-PapersOnLine, vol. 50, no. 1. pp. 6851–6856, 2017.

82.      X. C. Chen, Z. Q. Cao, Y. Q. Yang, and C. Zhou, “Vision-based fuzzy controller for quadrotor tracking a ground target,” Advances in Science and Technology, vol. 101. pp. 121–126, 2017.

83.      Z. Cao, X. Chen, Y. Yu, J. Yu, X. Liu, C. Zhou, M. Tan, “Image dynamics-based visual servoing for quadrotors tracking a target with a nonlinear trajectory observer,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 1. pp. 376–384, 2017.

84.      C. Zhou, Z. Wu, L. Deng, Y. Wang, Z. Cao, and M. Tan, “Automated axis alignment for a nano manipulator inside SEM,” 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1293, 2016.

85.      C. Zhou et al., “A TDC-based nano-scale displacement measure method inside scanning electron microscopes,” 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1298,2016.

86.      Z. Zhang, J. Liu, X. Wang, Q. Zhao, C. Zhou et al., “Robotic pick-and-place of multiple embryos for vitrification,” IEEE Robotics and Automation Letters, vol. 2, no. 2. pp. 570–576, 2016.

87.      Z. Wu, X. Yang, C. Zhou, J. Yuan, and J. Yu, “Dynamics modeling and simulation for a gliding robotic dolphin,” 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO). pp. 829–834, 2016.

88.      Y. Wang, J. Zhu, J. Luo, S. Xie, L. Sun, C. Zhou et al., “A stick-slip positioning stage robust to load variations,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 4. pp. 2165–2173, 2016.

89.      Z. Peng, C. Zhiqiang, G. Nong, Z. Chao, X. De, and T. Min, “A coordinated docking approach based on embedded vision,” International Journal of Robotics and Automation, vol. 31, no. 1. 2016.

90.      X. Meng, C. Zhou, Z. Cao, L. Zhang, X. Liu, and S. Wang, “A slope location and orientation estimation method based on 3D LiDAR suitable for quadruped robots,” 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO). pp. 197–201, 2016.

91.      W. Liu, L. Cheng, C. Zhou, Z. G. Hou, and M. Tan, “Neural-network based model predictive control for piezoelectric-actuated stick-slip micro-positioning devices,” 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pp. 1312-1317, 2016.

92.      J. Liu, Z. Zhang, X. Wang, H. Liu, Q. Zhao, C. Zhou et al., “Automated robotic measurement of 3-D cell morphologies,” IEEE Robotics and Automation Letters, vol. 2, no. 2. pp. 499–505, 2016.

93.      Z. Cao, F. Shen, C. Zhou, N. Gu, S. Nahavandi, and D. Xu, “Heading control for a robotic dolphin based on a self-tuning fuzzy strategy,” International Journal of Advanced Robotic Systems, vol. 13, no. 1. pp. 28–28, 2016.

94.      Z. Cao, N. Gu, J. Jiao, S. Nahavandi, C. Zhou, and M. Tan, “A novel geometric transportation approach for multiple mobile manipulators in unknown environments,” IEEE Systems Journal, vol. 12, no. 2. pp. 1447–1455, 2016.

95.      Q. Wei, S. Wang, Y. Wang, C. Zhou, and M. Tan, “Course and depth control for a biomimetic underwater vehicle-RobCutt-I,” International Journal of Offshore and Polar Engineering, vol. 25, no. 2. pp. 81–87, 2015.

96.      Y. Wang, S. Wang, Q. Wei, M. Tan, C. Zhou, and J. Yu, “Development of an underwater manipulator and its free-floating autonomous operation,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 2. pp. 815–824, 2015.

97.      Y. Wang, L. Cheng, Z. G. Hou, M. Tan, C. Zhou, and M. Wang, “Consensus seeking in a network of discrete-time linear agents with communication noises,” International Journal of Systems Science, vol. 46, no. 10. pp. 1874–1888, 2015.

98.      X. Liu, Z. Cao, N. Gu, S. Nahavandi, C. Zhou, and M. Tan, “Intelligent line segment perception with cortex-like mechanisms,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 45, no. 12. pp. 1522–1534, 2015.

99.      J. Ge, S. Xie, Y. Wang, J. Liu, H. Zhang, B. Zhou, F. Weng, C. Ru, C. Zhou et al., “A system for automated detection of ampoule injection impurities,” IEEE Transactions on Automation Science and Engineering, vol. 14, no. 2. pp. 1119–1128, 2015.

100.  Z. Cao, X. Liu, N. Gu, S. Nahavandi, D. Xu, C. Zhou, M. Tan, “A fast orientation estimation approach of natural images,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 11. pp. 1589–1597, 2015.

101.  Z. Cao, L. Cheng, C. Zhou, N. Gu, X. Wang, and M. Tan, “Spiking neural network-based target tracking control for autonomous mobile robots,” Neural Computing and Applications, vol. 26. pp. 1839–1847, 2015.

102.  C. Zhou, Z. Gong, B. K. Chen, M. Tan, and Y. Sun, “Closed-loop controlled nanoprobing inside SEM,” 14th IEEE International Conference on Nanotechnology. pp. 45–48, 2014.

103.  Y. Wang, S. Wang, M. Tan, C. Zhou, and Q. Wei, “Real-time dynamic Dubins-Helix method for 3-D trajectory smoothing,” IEEE Transactions on Control Systems Technology, vol. 23, no. 2. pp. 730–736, 2014.

104.  F. Shen, Z. Cao, C. Zhou, D. Xu, and N. Gu, “Depth control for robotic dolphin based on fuzzy PID control,” International Journal of Offshore and Polar Engineering, vol. 23, no. 3. 2013.

105.  Z. Cao, C. Zhou, L. Cheng, Y. Yang, W. Zhang, and M. Tan, “A distributed hunting approach for multiple autonomous robots,” International Journal of Advanced Robotic Systems, vol. 10, no. 4. pp. 217–217, 2013.

106.  Y. Yuan, J. Jiao, Z. Cao, and C. Zhou, “Fuzzy control coordination based hunting of multiple autonomous robots,” Huazhong Keji Daxue Xuebao(Ziran Kexue Ban) / Journal of Huazhong University of Science and Technology(Nature Science Edition), pp. 39, 2011.

107.  X. Wang, L. Cheng, Z. Q. Cao, C. Zhou, M. Tan, and Z. G. Hou, “Output-feedback consensus control of linear multi-agent systems: A fixed topology,” International Journal of Innovative Computing, Information and Control, vol. 7, no. 5. pp. 2063-2074, 2011.

108.  X. Wang, Z. Cao, C. Zhou, Z. Hou, and M. Tan, “Coordinated hunting based on spiking neural network for multi-robot system,” Multi-Robot Systems, Trends and Development. pp. 327–338, 2011.

109.  X. Wang, Z. Q. Cao, L. Cheng, C. Zhou, M. Tan, and Z. G. Hou, “Image information extraction based on spiking neural networks,” IFAC Proceedings Volumes, vol. 44, no. 1. pp. 13618–13623, 2011.

110.  F. Shen, C. Wei, Z. Cao, D. Xu, J. Yu, and C. Zhou, “Implementation of a multi-link robotic dolphin with two 3-DOF flippers,” J. Comput. Inform. Syst, vol. 7. pp. 2601–2607, 2011.

111.  F. Shen, Z. Cao, D. Xu, and C. Zhou, “Propulsive control for robotic dolphin based on fluke’s attack angle,” Huazhong Keji Daxue Xuebao(Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology(Nature Science Edition), pp. 39, 2011.

112.  L. Yang, Z. Cao, C. Zhou, L. Cheng, and M. Tan, “Formation control and switching for multiple robots in uncertain environments,” International Journal of Robotics &Automation, vol. 25, no. 3. pp. 240–240, 2010.

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(1) 仿生水下作业机器人自主控制关键技术, 一等奖, 部委级, 2022

(2) 高机动水下仿生机器人关键技术及应用, 一等奖, 部委级, 2019

(3) IEEE Transactions on Automation Science and Engineering Best New Application Paper Award, 一等奖, 其他, 2018

(4) 水下仿生平台, 二等奖, 院级, 2016

(5) 仿生机器鱼高效与高机动控制的理论与方法, 一等奖, 省级, 2015

(6) Student Award, 一等奖, 其他, 2006

1. 仿海豚推进机构, 发明专利, 2021, 第一发明人, 专利号: CN111976932B

2. 基于多连杆的仿生机器鱼尾机构, 发明专利, 2021, 第一发明人, 专利号: CN111924076B

3. 一种仿生鱼尾水下推进器, 发明专利, 2021, 第一发明人, 专利号: CN113415402A

4. 基于仿生机器鱼的仿生波动控制方法及系统, 发明专利, 2021, 第一发明人, 专利号: CN113753209A

5. 水下机器人紧急上浮装置, 发明专利, 2020, 第一发明人, 专利号: CN111252223A

6. 面向斜坡区域的基于多线激光雷达的斜坡角度估计方法, 专利授权, 2017, 第一发明人, 专利号: CN106646508A

7. 子母式仿生机器鱼系统, 发明专利, 2011, 第一发明人, 专利号: CN101314404B

8. 应用于水下机器人的开放式负载舱, 发明专利, 2008, 第一发明人, 专利号: CN101314396A

9. 基于重心改变的仿生机器鱼深度控制方法, 发明专利, 2008, 第一发明人, 专利号: CN101315563A

10. 用于水下机器人的智能浮标及其系统, 发明专利, 2021, 第二发明人, 专利号: CN111591394B

11. 仿生机器鱼驱动装置及仿生机器鱼鱼身, 发明专利, 2021, 第二发明人, 专利号: CN113772052A

12. 绳牵引仿生机器鱼驱动装置及绳牵引仿生机器鱼, 发明专利, 2021, 第二发明人, 专利号: CN113734397A

13. 水下机器人高精度浮力调节装置, 发明专利, 2020, 第二发明人, 专利号: CN111252221A

14. 用于大口径射电望远镜的容错位姿分配方法及系统, 发明专利, 2023, 第四发明人, 专利号: CN116190975A

15. 基于空域图像融合的机器鱼传感器故障检测方法及装置, 发明专利, 2023, 第五发明人, 专利号: CN116109897A

16. 焊接机器人自主作业方法、装置、电子设备及存储介质, 发明专利, 2022, 第六发明人, 专利号: CN113920060A

17. 复杂空间曲线焊缝的焊接位姿调整方法及装置, 发明专利, 2022, 第五发明人, 专利号: CN113894481A

18. 空间环形焊缝示教与焊缝跟踪方法、系统及设备, 发明专利, 2021, 第六发明人, 专利号: CN113798634A

19. 压电陶瓷致动器纳米级位移融合测量系统、方法和装置, 专利授权, 2019, 第二发明人, 专利号: CN110132117A

20. 一种舵机保护装置, 发明专利, 2014, 第二发明人, 专利号: CN103697145A

21. 一种网络化多机器人系统, 发明专利, 2010, 第二发明人, 专利号: CN101917464A

22. 多关节仿生机器鱼传感器故障诊断与容错控制方法及系统, 发明专利, 2021, 第三发明人, 专利号: CN113311714A

23. 电机稳定输出系统, 发明专利, 2020, 第三发明人, 专利号: CN111313599A

24. 一种水下高仿真机器鱼, 发明专利, 2018, 第三发明人, 专利号: CN105059511B

25. 一种应用于子母式机器人的升降式运输舱, 发明专利, 2015, 第三发明人, 专利号: CN104260110A

26. 图像水平重力方向的检测方法, 发明专利, 2014, 第三发明人, 专利号: CN104106097A

27. 一种机器人先顺时针再逆时针运动控制方法, 发明专利, 2014, 第三发明人, 专利号: CN103552070A

28. 一种基于母机器人视觉的子机器人入舱方法, 发明专利, 2014, 第三发明人, 专利号: CN103522304A

29. 基于标识块的目标定位方法, 发明专利, 2012, 第三发明人, 专利号: CN102496003A

30. 一种标识块及基于该标识块的目标定位方法, 发明专利, 2012, 第三发明人, 专利号: CN102496003A

31. 基于脉冲神经网络的机器人跟踪目标的控制方法, 发明专利, 2012, 第三发明人, 专利号: CN102346489A

32.  一种仿生机器海豚, 发明专利, 2010, 第三发明人, 专利号: CN101913419A

33.  多机器人协调队形控制方法, 发明专利, 2010, 第三发明人, 专利号: CN101685309A

34.  基于多特征融合的人脸定位与头部姿势识别方法, 发明专利, 2005, 第三发明人, 专利号: CN1601549A

35.  基于图像表现特征的移动机器人视觉导航方法, 发明专利, 2005, 第三发明人, 专利号: CN1569558A

36.  大口径射电望远镜运动中扫描模式轨迹规划方法及系统, 发明专利, 2021, 第四发明人, 专利号: CN112597429A

37.  索牵引并联机构实验装置, 发明专利, 2021, 第四发明人, 专利号: CN112247961A

38.  用于大口径射电望远镜天文跟踪模式的轨迹规划方法, 专利授权, 2020, 第四发明人, 专利号: CN111123974B

39.  基于局部特征融合的目标再识别方法, 发明专利, 2016, 第四发明人, 专利号: CN105243667A

40. 一种使移动机械臂趋近并抓取目标物体的方法, 发明专利, 2014, 第四发明人, 专利号: CN103522305A

41. 一种轻量化的机械臂机构, 发明专利, 2013, 第四发明人, 专利号: CN103223669A

42. 网络化多机器人系统, 发明专利, 2012, 第四发明人, 专利号: CN102497392A

43. 一种基于放射形标识符号的目标识别方法, 发明专利, 2012, 第四发明人, 专利号: CN102360426A

44. 一种基于机器海豚的水质监测系统, 发明专利, 2011, 第四发明人, 专利号: CN102227119A

45. 一种基于可行通道的机器人目标追踪方法, 发明专利, 2010, 第四发明人, 专利号: CN101667037A

46. 多移动机器人局部跟随控制方法, 发明专利, 2010, 第四发明人, 专利号: CN101630162A

47. 三维运动仿生机器鱼, 发明专利, 2009, 第四发明人, 专利号: CN101348165A

48.  微小型可浮潜玩具机器鱼, 发明专利, 2008, 第四发明人, 专利号: CN101322878A

49.  三维运动仿生机器鱼, 发明专利, 2008, 第四发明人, 专利号: CN201102625Y

50.  微小型可浮潜玩具机器鱼, 发明专利, 2008, 第四发明人, 专利号: CN201085925Y

51.  应用于仿生机器鱼的水面信息中继系统, 发明专利, 2007, 第四发明人, 专利号: CN1976252A

52.  一种仿生机器鱼, 发明专利, 2007, 第四发明人, 专利号: CN2868840

53.  焊缝特征点提取方法、装置、电子设备与存储介质, 发明专利, 2021, 第五发明人, 专利号: CN113674218A

54.  水下机器人仿鱼推进机构, 发明专利, 2021, 第五发明人, 专利号: CN111572742B

55.  一种机器人目标行人检索方法, 专利授权, 2021, 第五发明人, 专利号: CN109977928B

56. 水下机器人双向浮力调节装置, 发明专利, 2020, 第五发明人, 专利号: CN111252222A

57. 多机器人围捕方法, 专利授权, 2018, 第五发明人, 专利号: CN108115685A

58. 一种仿生机器鱼胸鳍结构, 发明专利, 2006, 第五发明人, 专利号: CN1785747A

59. 基于深度卷积神经网络的物体识别与抓取位置检测方法, 专利授权, 2019, 第六发明人, 专利号: CN109670501A

60.  多机器人系统无碰撞到达目标位置的方法, 专利授权, 2018, 第六发明人, 专利号: CN108334071A

61.  基于分层式结构和资源整合的多机器人任务分配方法, 专利授权, 2021, 第七发明人, 专利号: CN108171394B

62. 一种地面信息采集系统及方法, 发明专利, 2010, 第八发明人, 专利号: CN101650201A