Yanling Dong

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About

Yanling Dong is an emerging researcher specializing in human-robot interaction, teleoperation systems, and AI-driven multilingual communication for social robotics. Their work sits at the cutting edge of bridging human motion and robotic control, with a particular focus on anthropomorphic dual-arm systems that can faithfully replicate complex human movements in real time. Dong's most impactful contribution to date is their development of a whole-body teleoperation control framework for dual-arm robots using sensor fusion technology — a system designed to overcome one of the field's most persistent challenges: accurately translating human arm motion, including occluded positions, into precise multi-degree-of-freedom robotic control. This work has already attracted 10 citations since its 2023 publication, signaling strong early interest from the robotics community. A closely related study on integrating sensor fusion for anthropomorphic dual-arm control further reinforces this research thread. Beyond hardware control, Dong has also contributed a comprehensive review of AI-driven multilingual comprehension for social robots, addressing the increasingly critical need for robots to communicate naturally across languages and build genuine human trust. Together, these contributions position Dong as a versatile and forward-thinking voice in the future of intelligent, human-centered robotics.