Juo-Tung (Justin) Chen

I am a PhD Student @ Johns Hopkins University in Mechanical Engineering, advised by Axel Krieger in the Intelligent Medical Robotic Systems and Equipment Lab (IMERSE).

I received my Master's degree in Robotics from Johns Hopkins University and my Bachelor's degree in Biomechatronics Engineering from National Taiwan University. During my masters, I worked in Intuitive Computing Lab advised by Chien-Ming Huang , and during my undergrad, I worked in Robots and Medical Mechatronics Lab (RMML) advised by Ping-Lang Yen.

Research Interest

I am interested in bridging the gap between surgical robot and robot learning. My research goal is to develop an AI surgeon capable of autonomously performing long-horizon surgical tasks.

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Juo-Tung (Justin) Chen


News

  • [Sep, 2025]  Our paper SutureBot was accepted to NeurIPS 2025!
  • [Jul, 2025]  Our paper SRT-H was featured on the cover of Science Robotics!
  • [Jun, 2025]  Our paper SurgiPose got accepted to IROS 2025!
  • [Jun, 2024]  One paper got accepted to IROS 2024!
  • [May, 2024]  Got my master's degree in robotics at JHU!
  • [Nov, 2023]  One paper got accepted to HRI 2023!
  • [Oct, 2023]  Presented my paper Forgetful LLM at 2023 AAAI Fall Symposium.
  • [Sep, 2023]  One paper accepted to 2023 AAAI Fall Symposium.

Publications

    SutureBot: A Precision Framework & Benchmark For Autonomous End-to-End Suturing
    Juo-Tung Chen*, Jesse Haworth*, Nigel Nelson, Ji Woong Kim, Masoud Moghani, Chelsea Finn, Axel Krieger
    NeurIPS (Dataset and Benchmark) 2025
    SRT-H: A Hierarchical Framework for Autonomous Surgery via Language Conditioned Imitation Learning
    Ji Woong Kim, Juo-Tung Chen, Pascal Hansen, Lucy Shi, Antony Goldenberg, Samuel Schmidgall, Paul Scheikl, Anton Deguet, Brandon White, De Ru Tsai, Richard Cha, Jeffrey Jopling, Chelsea Finn, Axel Krieger
    Science Robotics 2025
    Paper   |   Website
    SurgiPose: Estimating Surgical Tool Kinematics from Monocular Video for Surgical Robot Learning
    Juo-Tung Chen, XinHao Chen, Ji Woong Kim, Paul Maria Scheikl,Richard Jaepyeong Cha, and Axel Krieger
    IROS 2025
    Reducing Performance Variability and Overcoming Limited Spatial Ability: Targeted Training for Remote Robot Teleoperation
    Juo-Tung Chen*, Tsung-Chi Lin*, Chien-Ming Huang
    IROS 2024
    Paper
    Forgetful Large Language Models: Lessons Learned from Using LLMs in Robot Programming
    Juo-Tung Chen, Chien-Ming Huang
    Proceedings of the AAAI Symposium Series
      Paper   |   Slides
    Alchemist: LLM-Aided End-User Development of Robot Applications
    Ulas Berk Karl, Juo-Tung Chen, Victor Nikhil Antony, Chien-Ming Huang
    HRI 2024
      Paper   |   Website