Zhenhuan Sun
Papers
2
Total Citations
13
H-Index
2
About
Zhenhuan Sun is pioneering the frontier of contactless micro-manipulation through advanced acoustic holography and robotic control. His research centers on developing physics-informed deep learning models that enable real-time acoustic holography, allowing precise, non-contact manipulation of micro- and nano-scale objects—a breakthrough with profound implications for material science and biomedical engineering. Sun’s most cited work, “Real-Time Acoustic Holography With Physics-Based Deep Learning for Robotic Manipulation” (2023, 11 citations), introduces a method that encodes three-dimensional acoustic fields into two-dimensional holograms, effectively creating virtual end-effectors for robotic systems. He further advances the field with his 2024 study on vision-based closed-loop control, which employs spatiotemporal multiplexing to trap multiple micro-particles simultaneously—a significant step toward automated, label-free, and biocompatible manipulation. With a growing citation impact and a clear trajectory toward integrating AI with acoustic physics, Sun is establishing himself as a key innovator in noncontact robotic manipulation, offering scalable solutions for precision tasks in micro-assembly and biomedical applications.
Research Focus
Key Achievements
Top Papers
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