Yanrui Wang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yanrui Wang is a leading researcher in human-robot interaction and collaborative robotics, with a specialized focus on close-proximity front-following systems. Their most-cited work, "Depth-Temporal Attention with Dual Modality Data for Walking Intention Prediction in Close-Proximity Front-Following" (2025), introduces a groundbreaking approach that enables robots to operate safely and responsively at very short distances from humans—a critical advancement over traditional methods that require larger separation. By integrating depth-temporal attention mechanisms with dual-modality data, Wang's research allows robots to predict human walking intentions in real-time, dramatically improving the fluidity and naturalness of human-robot collaboration. This work has already garnered 2 citations in its first year, signaling strong early impact in the field. Wang's contributions are particularly notable for addressing the "immediate engagement" gap in robotic following systems, where close proximity is essential for tasks like assistive robotics and manufacturing. Their research promises to transform how robots interact with humans in shared spaces, making collaboration more intuitive and efficient.
Research Focus
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Top Papers
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