Papers
2
Total Citations
11
H-Index
2
About
Yanke Wang is an innovative researcher working at the intersection of robotics, automation, and biomedical systems, with contributions spanning both life sciences instrumentation and intelligent robotic manipulation. Wang's most recognized work introduces an automated experimentation system for quantifying touch-response behaviors in zebrafish larvae, addressing critical limitations of manual approaches — namely, low throughput, poor accuracy, and inadequate reproducibility. This system opens new pathways for high-throughput screening of genetic and pharmacological influences on behavior, representing a meaningful advance for neuroscience and drug discovery research communities, accumulating 9 citations since its 2021 publication. More recently, Wang has expanded into construction robotics, contributing to the challenge of automating rebar tying — a physically demanding and ergonomically hazardous task. This 2025 work introduces hybrid perception combined with equivariant diffusion techniques to enable robust multi-node tying in complex, congested environments, reflecting Wang's growing expertise in perception and generative models for robotic manipulation. Across these diverse domains, Wang demonstrates a consistent drive to replace labor-intensive, error-prone manual processes with intelligent, reliable automated systems — a unifying vision that positions their work as highly relevant to both applied robotics and experimental biology communities.
Research Focus
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Top Papers
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