Papers
3
Total Citations
65
H-Index
3
About
Yanzhen Xiang is a robotics researcher whose work bridges dynamic locomotion, human-robot collaboration, and real-world deployment. Her key research areas include reinforcement learning for quadrupedal robots, assistive robotic limbs, and terrain-adaptive locomotion. Xiang’s most notable contribution is her 2023 paper “Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning” (36 citations), where she developed an RL framework that enables quadrupeds to perform fast, non-prehensile ball manipulation—a challenging fusion of agile locomotion and precise object interaction. This work pushes the boundaries of legged robotics in dynamic sports scenarios. During the COVID-19 pandemic, Xiang demonstrated the practical impact of her research with “Wheel-Legged Robotic Limb to Assist Human With Load Carriage: An Application For Environmental Disinfection During COVID-19” (23 citations), creating a robotic limb that reduces physical burden for disinfection workers. Her follow-up work, “Powered Super Tail: A Terrain-Adaptive Wheel-legged Robotic Limb to Assist Human’s Load Carriage” (6 citations), further advanced assistive robotics by addressing uneven terrain challenges. Xiang’s research is distinguished by its focus on real-world utility—from pandemic response to sports robotics—and her ability to integrate reinforcement learning with mechanical design. Her work has significant implications for assistive technology, disaster response, and human-robot interaction.
Research Focus
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