Xin‐Wei Yao
Papers
1
Total Citations
2
H-Index
1
About
Xin‐Wei Yao is a researcher specializing in intelligent robotics and multi-source perception systems. His work focuses on developing interactive robotic platforms that integrate diverse sensory inputs—such as vision, lidar, and tactile feedback—to enhance autonomous navigation and human-robot collaboration in complex environments. Yao’s most cited paper, “IIS-MSP: An Intelligent Interactive System of Patrol Robot with Multi-source Perception” (2018), introduces a novel framework for patrol robots that fuses data from multiple sensors to achieve real-time situational awareness and adaptive decision-making. This contribution has garnered 2 citations, reflecting its foundational role in advancing multi-modal perception for security and surveillance applications. Beyond this, Yao’s research explores human-robot interaction, sensor fusion algorithms, and the design of robust control systems for mobile robots. His work is particularly notable for bridging the gap between theoretical perception models and practical deployment in dynamic, unstructured settings. By emphasizing intelligent interaction and system integration, Yao’s contributions help pave the way for more responsive and reliable robotic assistants in industrial, commercial, and public safety domains.
Research Focus
Key Achievements
Top Papers
- 1