Title

Yue Chen

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Yue Chen Headshot
Title/Position
Associate Professor
Contact

Contact

4236, 313 Ferst Dr NW, Atlanta, GA 30332Georgia Tech
404.894.5586
Education

Education

  • PhD, Vanderbilt University
  • MPhil, Hong Kong Polytechnic University
  • BS, Hunan University
Affiliated Centers & Institutes

Affiliated Centers & Institutes

Research Interests

Research Interests

We are affiliated to the Department of Biomedical Engineering at Georgia Tech and Emory. The overarching goal of our research lab is to build the scientific and technical foundations for various robotic systems and apply them in the medical field. These robots include a commercialized robot manipulator and many custom-designed robotic systems, such as concentric tube robots, tendon-driven robots, catheters, and soft robots. We are particularly interested in the design, fabrication, modeling, and control of these robotic systems.

 

Teaching Interests

Teaching Interests

Dr. Chen’s teaching focuses on Medical Robotics and Introduction to Biomechanics. His classroom approach emphasizes hands-on learning and connects fundamental concepts to practical, real-world applications.
Publications

Publications

Gunderman, Anthony L., Joe Sommer, Saikat Sengupta, Dimitri Sigounas, Kevin Cleary, and Yue Chen. "Concentric Tube Robot-Assisted Intracerebral Hemorrhage Evacuation: Validation in an Ovine Model." IEEE Transactions on Medical Robotics and Bionics (2026).
Wang, Yifan, and Yue Chen. "Topology-Informed Quasi-Static Motion Planning for Continuum Robots With Contacts." IEEE robotics and automation letters (2025).
Ai, Letian, Saikat Sengupta, and Yue Chen. "Marker-to-Object Calibration Using Landmark Touch." IEEE sensors journal (2025).
Azizkhani, Milad, Shreyas Kousik, and Yue Chen. "Dynamic task space control of redundant pneumatically actuated soft robot." IEEE Robotics and Automation Letters (2025).
Shen, Jia, Yifan Wang, Milad Azizkhani, Deqiang Qiu, and Yue Chen. "Concentric tube robot redundancy resolution via velocity/compliance manipulability optimization." IEEE robotics and automation letters 8, no. 11 (2023): 7495-7502.

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