Danqian Cao

King's College London, Chinese University of Hong Kong, Shenzhen

Papers

Total Citations

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About

Danqian Cao is a rising leader in the field of soft robotics and tactile sensing, with a research focus on bio-inspired sensor design, multi-dimensional force perception, and human-machine interaction. Their most influential work, "Polymer-Based Optical Waveguide Triaxial Tactile Sensing for 3-Dimensional Curved Shell" (2022, 30 citations), addresses a critical bottleneck in dexterous robotic manipulation by developing a conformable sensor that can measure triaxial forces on curved surfaces—a key step toward truly skin-like robotic interfaces. Building on this, Cao introduced OMsense (2023), an innovative omni-tactile sensing principle inspired by compound eyes, which leverages vision-based internal measurements to achieve soft, high-resolution tactile feedback. Most recently, their 2025 work on respiratory motion-robust robotic ultrasound acquisitions demonstrates a cross-domain application, using vision-haptic fusion control to compensate for physiological motion during 3D scanning—a clinically relevant advancement for abdominal and cardiovascular imaging. With a growing citation trajectory and a clear thread of work that moves from fundamental sensor design to applied robotic systems, Cao is establishing a reputation for solving real-world integration challenges in tactile and medical robotics.