Tian Shuangna

Papers

Total Citations

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About

Tian Shuangna is a robotics researcher whose work focuses on human-robot interaction and perception systems for mobile robots. Her most-cited contribution, the "People-following system design for mobile robots using Kinect sensor" (2013, 25 citations), pioneered the use of low-cost 3D somatosensory cameras for autonomous person tracking. By leveraging the Kinect's skeleton tracking capabilities, she developed a method to identify and follow a specific individual in real-time, translating depth image data into robot-local coordinates. This work addressed a fundamental challenge in assistive and service robotics—enabling robots to naturally accompany humans in dynamic environments. Her research bridges computer vision and robotics, demonstrating how accessible hardware can achieve sophisticated behavioral tasks. While her citation count reflects a focused but impactful contribution, the system's design principles have influenced subsequent work in human-aware navigation and social robotics. Tian's approach exemplifies practical innovation, showing how off-the-shelf sensors can be repurposed for intelligent robotic behavior, and her findings remain relevant for researchers developing intuitive, non-intrusive human-robot collaboration systems.