Papers
50
Total Citations
1,292
H-Index
21
About
Shing Shin Cheng is a pioneering robotics researcher whose work sits at the critical intersection of surgical robotics, medical imaging, and advanced control systems. Best known for developing the Minimally Invasive Neurosurgical Intracranial Robot (MINIR and MINIR-II), Cheng has dedicated his career to creating sophisticated continuum robots capable of operating within the demanding environment of MRI scanners to treat life-threatening brain tumors and intracerebral hemorrhage. His most cited work, "Toward the Development of a Flexible Mesoscale MRI-Compatible Neurosurgical Continuum Robot" (128 citations), exemplifies his focus on enabling complete tumor resection through intelligent imaging integration. A distinctive hallmark of his research is the innovative use of shape memory alloy (SMA) spring actuators with real-time water-cooling mechanisms, allowing precise, MRI-compatible motion control — contributions that have collectively attracted hundreds of citations. Beyond hardware design, Cheng has made notable advances in robot sensing using fiber Bragg grating technology, nonlinear modeling of Nitinol-based systems, and safe control frameworks employing multi-agent reinforcement learning. His broader contributions extend into adaptive optimization for nonlinear systems, reflecting impressive theoretical versatility. Cheng's body of work represents a meaningful step toward safer, more precise minimally invasive neurosurgery, making him an influential voice in medical robotics research.
Research Focus
Key Achievements
Top Papers
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- 6Modular FBG Bending Sensor for Continuum Neurosurgical Robot48 citations · 2019
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