Papers
12
Total Citations
286
H-Index
9
About
Kaicheng Huang is a robotics researcher whose work sits at the intersection of soft continuum robotics, surgical automation, and medical micromanipulation. His research has made significant strides in enabling robots to perform complex surgical tasks with greater precision and autonomy. Most notably, Huang has advanced the control and shape estimation of soft continuum robots — flexible, infinitely-DOF manipulators with transformative potential in minimally invasive surgery — developing trajectory tracking methods for automated blood suction (63 citations) and model-based shape estimation under external payloads (53 citations). His contributions extend to surgical suturing automation, where he pioneered vision-based systems for knot tying, suture thread detection using deep learning, and 3D reconstruction of flexible suture threads, collectively accumulating over 80 citations across multiple studies. Beyond surgical robotics, Huang has explored biomedical micromanipulation, developing robotic negative dielectrophoresis (nDEP) tweezers for automated embryo handling and single-particle micropatterning. His more recent work addresses intuitive human-robot interfaces for redundant soft robots through gesture-based steering frameworks. With over 270 total citations, Huang's portfolio reflects a consistent drive to bridge intelligent perception, robot control, and real-world clinical applicability.
Research Focus
Key Achievements
Top Papers
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- 8Automated Embryo Manipulation and Rotation via Robotic nDEP-Tweezers15 citations · 2020
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- 10Gesture-Based Steering Framework for Redundant Soft Robots7 citations · 2024