Collaborative robots and AI are becoming increasingly important for surgeons who must perform extremely precise, often highly repetitive tasks. But surgical applications have unique performance and certification requirements that are not widely understood or available in the current cobot market.

In this presentation, we will provide guidance on how to address these barriers. We will also explore critical engineering considerations when specifying surgical application needs regarding collaborative features, AI integration in the surgical flow, and certification requirements. Join us for answers to these questions:

  • What are the unique requirements for cobots in surgical applications?
  • How do key components such as frameless motors determine performance?
  • How do cobots and AI-enabled visualization impact surgical flow?
  • How to use built-in tools for greater performance
A surgical cobot in an operating suite.

About the Presenter(s)

Gene Matthews
Gene Matthews

Gene Matthews is a Senior Product Manager, located in Radford VA. He received his BS in electrical engineering from the University of Illinois in 1996 and has been with Kollmorgen since 1999. Gene has worked in several capacities within Kollmorgen, including technical support and applications engineering, providing him with a full background in all things motion.

Dr. Jindong Tan (Azure Medical Innovation)
Dr. Jindong Tan (Azure Medical Innovation)

Jindong Tan has 25+ years of experience in the design and control of collaborative robots in both academia and industry. He was a co-founder of a collaborative robot startup targeting industrial applications. Tan is a Co-Founder of Azure Medical Innovation, providing customized collaborative and AI robots for surgical applications, and developing surgical systems for dental implant and teeth crowning procedures. He is also a Professor of Biomedical Engineering at the University of Tennessee Knoxville.