Autonomous Marine Vehicles
Hybrid Aerial Underwater Vehicles
AMV Path Planning in Dynamic Ocean Environments
AMV Adaptive Guidance and Control
Cooperation of Multi-UMV systemsAutonomous Marine Vehicles

 National Natural Science Foundation of China. 2017, Grant No.41706108
 Shanghai Sailing Program. 2017, Grant No.17YF1409600
 Natural Science Foundation of Shanghai. Grant No.20ZR1424800
 Qingdao National Laboratory for Marine Science and Technology. 2017, Grant No.QNLM2016ORP0104

https://scholar.google.com/citations?hl=en&user=pRFzIBcAAAAJ&view_op=list_works&sortby=pubdate

 Y. Bi, D. Lu, Z. Zeng*, L Lian, "Dynamics and control of hybrid aerial underwater vehicle subject to disturbances," Ocean Engineering, 2022
 Z. Zeng*, C. Lyu, Y. Bi, Y. Jin, D. Lu, and L. Lian, “Review of hybrid aerial underwater vehicle: Cross-domain mobility and transitions control,” Ocean Engineering, 2022.
 C. Lyu, D. Lu, C. Xiong, R. Hu, Y. Jin, J. Wang, Z. Zeng*, and L. Lian, “Toward a gliding hybrid aerial underwater vehicle: Design, fabrication, and experiments,” Journal of Field Robotics, 2022.
 R. Hu, D. Lu, C. Xiong, C. Lyu, H. Zhou, Y. Jin, T. Wei, C. Yu, Z. Zeng*, and L. Lian, “Modeling, characterization and control of a piston-driven buoyancy system for a hybrid aerial underwater vehicle,” Applied Ocean Research, vol. 120, 2022.
 D. Lu, C. Xiong, H. Zhou, C. Lyu, R. Hu, C. Yu, Z. Zeng*, and L. Lian, “Design, fabrication, and characterization of a multimodal hybrid aerial underwater vehicle,” Ocean Engineering, vol. 219, 2021.
 D. Lu, Y. Guo, C. Xiong, Z. Zeng*, and L. Lian, “Takeoff and Landing Control of a Hybrid Aerial Underwater Vehicle on Disturbed Water’s Surface,” IEEE Journal of Oceanic Engineering, 2021.
 H. Zhang, Z. Zeng*, C. Yu, Z. Jiang, B. Han, and L. Lian, “Predictive and sliding mode cascade control for cross-domain locomotion of a coaxial aerial underwater vehicle with disturbances,” Applied Ocean Research, vol. 100, 2020.
 Z. Zeng*, H. Zhou, and L. Lian, “Exploiting ocean energy for improved AUV persistent presence: path planning based on spatiotemporal current forecasts,” Journal of Marine Science and Technology (Japan), vol. 25, no. 1, pp. 26-47, 2020.
 D. Lu, C. Xiong, Z. Zeng*, and L. Lian, “Adaptive Dynamic Surface Control for a Hybrid Aerial Underwater Vehicle with Parametric Dynamics and Uncertainties,” IEEE Journal of Oceanic Engineering, vol. 45, no. 3, pp. 740-758, 2020.
 D. Lu, C. Xiong, Z. Zeng*, and L. Lian, "A multimodal aerial underwater vehicle with extended endurance and capabilities." 2019 International Conference on Robotics and Automation (ICRA), pp. 4674-4680.
 Z. Zeng, K. Sammut, L. Lian, A. Lammas, F. He, and Y. Tang, “Rendezvous Path Planning for Multiple Autonomous Marine Vehicles,” IEEE Journal of Oceanic Engineering, vol. 43, no. 3, pp. 640-664, 2018.
 Z. Zeng, K. Sammut, L. Lian, F. He, A. Lammas, and Y. Tang, “A comparison of optimization techniques for AUV path planning in environments with ocean currents,” Robotics and Autonomous Systems, vol. 82, pp. 61-72, 2016.
 Z. Zeng, L. Lian, K. Sammut, F. He, Y. Tang, and A. Lammas, “A survey on path planning for persistent autonomy of autonomous underwater vehicles,” Ocean Engineering, vol. 110, pp. 303-313, 2015.
 Z. Zeng, A. Lammas, K. Sammut, F. He, and Y. Tang, “Shell space decomposition based path planning for AUVs operating in a variable environment,” Ocean Engineering, vol. 91, pp. 181-195, 2014.