Papers
2
Total Citations
21
H-Index
2
About
Xiangning Wu is a researcher at the forefront of robotics and intelligent control systems, with key contributions spanning autonomous navigation and rehabilitation technology. Their early groundbreaking work, "Autonomous Robot Path Planning Based on Swarm Intelligence and Stream Functions" (2007, 19 citations), pioneered the integration of bio-inspired swarm algorithms with fluid dynamics concepts to solve complex path planning challenges—a foundational approach that has influenced subsequent research in multi-robot coordination. More recently, Wu has advanced human-robot interaction through the development of a novel motion intent recognition algorithm for lower limb rehabilitation robots, leveraging dual-physics sensor feature fusion to achieve superior accuracy in detecting user movement intentions. This 2024 work addresses a critical bottleneck in rehabilitation robotics: the need for robust, real-time systems that can seamlessly interpret human motion from heterogeneous sensor data. By combining swarm intelligence principles with cutting-edge sensor fusion techniques, Wu’s research demonstrates a unique ability to bridge theoretical algorithms with practical applications, offering transformative potential for both autonomous systems and assistive medical devices. Their work continues to shape how robots perceive and respond to dynamic environments and human intent.
Research Focus
Key Achievements
Top Papers
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