William Chung-Ho Panitch
Papers
2
Total Citations
36
H-Index
2
About
William Chung-Ho Panitch is a rising star at the intersection of robotics, artificial intelligence, and surgical innovation. His research focuses on developing intelligent, autonomous systems for robotic surgery, with a particular emphasis on simulation, language-guided control, and augmented dexterity. Panitch’s major contributions include the creation of **Orbit-Surgical**, an open-source physics-based simulation framework that addresses a critical bottleneck in surgical robotics—the lack of fast, accurate, and robust training environments. This work has already garnered 27 citations, underscoring its importance to the field. He is also the lead author of **SuFIA**, the first framework to integrate large language models (LLMs) with perception and control for natural language-guided surgical assistance, enabling high-level planning and low-level execution. This pioneering approach earned 9 citations shortly after release. Panitch’s work is notable for bridging the gap between cutting-edge AI and practical surgical applications, offering a scalable path toward safer, more capable robotic assistants. His contributions are poised to shape the next generation of surgical training and autonomous operation.
Research Focus
Key Achievements
Top Papers
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