Papers
2
Total Citations
10
H-Index
2
About
Geng Xu is a rising researcher in the field of intelligent underwater robotics, with a focus on autonomous navigation and human-robot interaction. His work centers on solving critical challenges in underwater vehicle path planning and control, particularly for maritime conservation and monitoring missions. Xu's most cited paper introduces a novel "Bidirectional Path and Cached Random Tree Star Algorithm" for underwater vehicle path planning, which optimizes routes while accounting for kinematic constraints—a key contribution for autonomous systems operating in complex underwater environments. This work has already garnered 7 citations since its 2024 publication, signaling its growing influence. Additionally, Xu has advanced human-robot collaboration through his "Double-loop Human-Robot Shared Control" framework, which balances autonomous trajectory tracking with real-time human operator commands. This 2023 paper, with 3 citations, addresses the practical challenge of achieving seamless cooperation between human pilots and autonomous systems in remotely operated underwater vehicles. Xu's contributions are particularly notable for bridging the gap between theoretical path planning algorithms and real-world control systems, making him a promising voice in the development of more capable and responsive underwater robotic platforms.
Research Focus
Key Achievements
Top Papers
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