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About

Xiaolong Yang is an emerging robotics researcher whose work spans two compelling frontiers: biologically inspired robotic systems and advanced teleoperation control. His widely cited 2022 review on snake-inspired robots, which has garnered 33 citations, provides a comprehensive taxonomy of these adaptive systems across diverse environments, establishing him as a knowledgeable voice in biomimetic robotics. More recently, Yang has concentrated his efforts on sensor fusion-driven teleoperation, developing sophisticated methods to translate natural human arm movements into precise robotic control. His 2023 body of work — spanning anthropomorphic single-arm control, dual-arm teleoperation, and whole-body robotic systems — collectively demonstrates a consistent drive to overcome real-world challenges such as sensor occlusion and multi-degree-of-freedom mapping. By integrating technologies including Kinect cameras, inertial measurement units, and data gloves, Yang's multimodal frameworks push the boundaries of human-robot interaction. With over 69 cumulative citations across just five recent publications, his rapid scholarly impact signals a researcher poised to make lasting contributions to intelligent robotic control and human-machine collaboration.