Yongjie Pang

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About

Yongjie Pang is a leading researcher in autonomous underwater vehicle (AUV) systems, with a primary focus on multi-vehicle coordination and bio-inspired robotics. His foundational work on the coordination of multiple AUVs (MAUVs), published in 2010, introduced a market-based approach using the MOOS-IvP architecture to enable efficient data gathering in complex oceanographic scenarios. This paper has garnered 4 citations, establishing a key framework for distributed underwater task allocation. In earlier research, Pang explored the hydrodynamics of robotic fish, employing axial deformation methods and panel-based calculations to simulate motion in vertical planes. His 2004 study on robot fish movement, which analyzed the relationship between pectoral fin attack angles and lift, has received 2 citations and demonstrates his versatility in merging biological principles with engineering design. By bridging theoretical hydrodynamics with practical multi-agent systems, Pang has contributed to the advancement of autonomous ocean exploration technologies. His work continues to inspire researchers developing scalable, cooperative underwater platforms for environmental monitoring and defense applications.