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About

Teng Li is an emerging robotics and human-machine interface researcher whose work spans acoustic holography, nanorobotic manipulation, and brain-computer interfaces. His most influential contribution lies in pioneering physics-based deep learning frameworks for real-time acoustic holography, enabling precise noncontact micro-nano robotic manipulation through intelligent 3D acoustic field reconstruction — work that has already garnered 11 citations since 2023. Building on this foundation, Li further advanced the field with physics-reinforced contrastive learning approaches to acoustic field reconstruction, broadening applications from neuromodulation to volumetric imaging. Li has made significant strides in nanorobotics inside scanning electron microscopes (SEM), developing visual servo control, zooming-free hand-eye calibration, and motion-distortion-robust tracking systems that push SEM-based nanomanipulation toward full automation. His 2024 work on nanorobot-assisted flexible neural electrode implantation for brain-computer interfaces represents a bold cross-disciplinary leap, addressing longstanding challenges of electrode rigidity in BCI systems. Additional contributions span automated surgical knot tying at microscale, multi-particle acoustic trapping, and solar panel cleaning robotics. Collectively accumulating over 45 citations in just a few years, Li's research profile signals a dynamic trajectory at the intersection of intelligent robotics, nanoscale automation, and biomedical engineering.