Juo-Tung (Justin) Chen


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

My research sits at the intersection of surgical robotics and robot learning, with a focus on building autonomous surgical systems. I am driven by the following questions:
  1. How can we train surgical foundation models that generalize across procedures, robot platforms, and institutions by scaling multi-modal data collection?
  2. How can hierarchical imitation learning enable robots to complete long-horizon surgical tasks that require both high-level reasoning and precise low-level control?
  3. How can surgical tool pose estimation from monocular video unlock large-scale pretraining data for surgical foundation models — by recovering kinematics from the vast amounts of existing surgical footage that lack robot state recordings?


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News

Publications

* Equal contribution

Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Nigel Nelson*, Juo-Tung Chen*, Jesse Haworth*, Xinhao Chen*, Lukas Zbinden*, Dianye Huang*, ..., Nassir Navab, Mahdi Azizian, Sean D. Huver, Axel Krieger
Preprint 2026
Paper  |  Website  |  Dataset
ImitateCholec: A Multimodal Dataset for Long-Horizon Imitation Learning in Robotic Cholecystectomy
Pascal Hansen, Ji Woong Brian Kim, Antony Goldenberg, Juo-Tung Chen, Yuanzhe Amos Li, Anton Deguet, Brandon White, De Ru Tsai, Richard Cha, Jeffrey Jopling, Paul Maria Scheikl, Axel Krieger
Nature Scientific Data 2026
Paper  |  Dataset
Cosmos-Surg-dVRK: World Foundation Model-based Automated Online Evaluation of Surgical Robot Policy Learning
Lukas Zbinden, Nigel Nelson, Juo-Tung Chen, Xinhao Chen, Ji Woong Kim, Mahdi Azizian, Axel Krieger, Sean Huver
RA-L 2025
Paper  |  Website
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 2025
Paper  |  Website  |  Dataset
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, Axel Krieger
IROS 2025
Paper
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
AAAI Symposium 2023
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