Papers
2
Total Citations
6
H-Index
2
About
Dr. Yiwen Wei is a pioneering researcher at the intersection of intelligent robotics and bioinspired sensing systems. Her work spans two transformative domains: artificial olfactory systems for hazardous gas detection and advanced trajectory optimization for industrial spraying robots. In her 2025 study on artificial olfactory systems, Dr. Wei introduced synaptic transistor-based sensors that mimic biological memory, enabling the detection and recall of hazardous gases to simulate organ injury—a breakthrough with profound implications for humanoid robotics and environmental safety. Her 2024 research on LASD spraying robots for high-speed trains tackles a critical manufacturing challenge, employing an improved particle swarm optimization (IMPSO) algorithm to automate the precise application of sound-deadening materials, replacing inconsistent manual labor. Though early in her career, Dr. Wei’s work has already garnered citations, reflecting its novelty and practical impact. By bridging neural-inspired computing with industrial automation, she is shaping the future of intelligent systems that perceive, remember, and act—advancing both safety and efficiency in real-world applications.
Research Focus
Key Achievements
Top Papers
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