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About

Shuang Qiu is an emerging robotics researcher whose work sits at the intersection of wearable exoskeleton technology and intelligent environmental perception. Their research primarily focuses on lower extremity robotic exoskeletons (LEEX), stair detection using deep learning, and vision-based perception systems for assistive and autonomous robots. Qiu's most influential contribution, a 2022 systematic review on wearable lower extremity robotic exoskeletons, has garnered 93 citations, establishing them as a credible voice in the field and underscoring the breadth of applications spanning medical rehabilitation, military, and industrial domains. Complementing this, Qiu has pioneered deep learning approaches to stair detection — a critical challenge for exoskeleton robots, humanoid systems, and navigation aids for the visually impaired — with works including the StairNetV3 framework demonstrating a sustained commitment to advancing RGB-D and depth-aware methodologies. Their 2024 prototype exoskeleton, PTEXO, introduces the novel Enhanced Sensitivity Amplification Control strategy, reflecting a seamless integration of hardware design and intelligent control. Collectively, Qiu's publications signal a researcher dedicated to bridging perception, mobility assistance, and human-robot interaction, with growing influence evidenced by over 140 cumulative citations across their body of work.