AI-Powered Intelligent Surgical Robotics

Robotic-assisted surgery (RAS) holds the promise of improving precision, safety, and accessibility in the operating room (OR), especially in the discipline of minimally invasive surgery. Yet significant challenges remain in designing compact mechatronic architectures, enabling intelligent decision-making, and integrating imaging with real-time control. Advances in artificial intelligence, simulation, and medical imaging open new opportunities to address these gaps and transform how surgery is performed.

The primary goal of this VIP team is to create versatile surgical robotics platforms that can support both endovascular interventions and neurosurgeries. Students will explore mechatronic design, embedded systems, medical image segmentation and image-guided navigation, while also developing AI-powered control strategies through deep reinforcement learning and learning in simulation. By combining engineering innovation with clinical relevance, this project prepares students to contribute to the next generation of healthcare technologies.

Faculty Advisor

• Hao Su Associate Professor
  • Email: hao.su@nyu.edu

Partners

• NYU Biomechatronic and Intelligent Robotics (BIRO) Lab
• NYU Tandon School of Engineering
• NYU Langone Health

Outside source:

• National Science Foundation (NSF)
• National Institute of Health (NIH)