1. [Publications](/publications)
2. The Grand Challenges of Learning Medical Robot Autonomy

 # The Grand Challenges of Learning Medical Robot Autonomy

  ![Publication image](/sites/default/files/styles/wide/public/default_images/default.jpeg?itok=TfIobf92 "Publication image")

 Most medical robots depend on human operators for sensing, decision-making, and action during procedures. Future progress depends on enabling robots to take on these capabilities. Although learning-based approaches provide remarkable promise toward achieving this goal, notable challenges must be addressed to unlock these robots’ full potential in clinical settings.

 ## Authors

Pierre E. Dupont (Boston Children’s Hospital, Harvard Medical School)

[Alperen Degirmenci](/person/alperen-degirmenci)

 ## Citation

    ```
Dupont, P.E. and Degirmenci, A., 2025. The grand challenges of learning medical robot autonomy. Science Robotics, 10(104), p.eadz8279.
```

 ## Publication Date

Wednesday, July 30, 2025

 ## Published in

[Science Robotics](https://www.science.org/doi/10.1126/scirobotics.adz8279)

 ## Research Area

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

[Robotics](/research-area/robotics)