Papers
5
Total Citations
119
H-Index
5
About
Xiuwen Liu is a leading researcher in autonomous systems, with key contributions spanning maritime autonomy, human-aware robotics, and multi-agent coordination. His work on "Estimation of berthing state of maritime autonomous surface ships based on 3D LiDAR" (2022, 53 citations) advances the safe, precise docking of autonomous vessels—a critical challenge for maritime autonomy. Earlier, his highly cited paper "Human-aware robot motion planning with velocity constraints" (2008, 46 citations) pioneered methods for high-speed robots to navigate human environments safely and comfortably, using the Segway robotic platform to demonstrate how robots can complete tasks efficiently while ensuring human safety. This work remains foundational for human-robot interaction. Liu also developed the "Stochastic Clustering Auction" for centralized and distributed task allocation in multi-agent teams (2009), and contributed to off-road autonomous navigation with a laser-based rut detection and following system (2010). His recent research on "Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems" (2024) addresses critical security vulnerabilities in VLN systems, reflecting his ongoing commitment to robust, trustworthy autonomous navigation. With over 100 citations across his most-cited works, Liu’s research continues to shape the future of autonomous systems in both maritime and terrestrial domains.
Research Focus
Key Achievements
Top Papers
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- 2Human-aware robot motion planning with velocity constraints46 citations · 2008
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