mlsanityData to 7 Oct 2026

Robot Autonomy for Surgery

arXiv 1707.03080 ↗First posted 10 Jul 2017cs.ROcited by 16

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Abstract (arXiv)

Autonomous surgery involves having surgical tasks performed by a robot operating under its own will, with partial or no human involvement. There are several important advantages of automation in surgery, which include increasing precision of care due to sub-millimeter robot control, real-time utilization of biosignals for interventional care, improvements to surgical efficiency and execution, and computer-aided guidance under various medical imaging and sensing modalities. While these methods may displace some tasks of surgical teams and individual surgeons, they also present new capabilities in interventions that are too difficult or go beyond the skills of a human. In this chapter, we provide an overview of robot autonomy in commercial use and in research, and present some of the challenges faced in developing autonomous surgical robots.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jul 2017.

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Citing papers per year: 2018: 1; 2019: 0; 2020: 0; 2021: 1; 2022: 2; 2023: 6; 2024: 5; 2025: 1.

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  1. 2023Large AI Models in Health Informatics: Applications, Challenges, and the Futurecited by 61
  2. 2018Adversarial Imitation via Variational Inverse Reinforcement Learningcited by 36
  3. 2021SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learningcited by 28
  4. 2023Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robotcited by 21
  5. 2024General-purpose foundation models for increased autonomy in robot-assisted surgerycited by 15
  6. 2023Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learningcited by 11
  7. 2023Image-based Pose Estimation and Shape Reconstruction for Robot Manipulators and Soft, Continuum Robots via Differentiable Renderingcited by 9
  8. 2023Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robotcited by 8
  9. 2024Tracking Everything in Robotic-Assisted Surgerycited by 5
  10. 2024HemoSet: The First Blood Segmentation Dataset for Automation of Hemostasis Managementcited by 4
  11. 2024Robust Surgical Tool Tracking with Pixel-based Probabilities for Projected Geometric Primitivescited by 3
  12. 2022Deep Reinforcement Learning Based Semi-Autonomous Control for Robotic Surgerycited by 2
4 more
  1. 2022Real-Time Constrained 6D Object-Pose Tracking of An In-Hand Suture Needle for Minimally Invasive Robotic Surgerycited by 2
  2. 2023SuPerPM: A Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Datacited by 2
  3. 2025Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutionscited by 2
  4. 2024Improving the realism of robotic surgery simulation through injection of learning-based estimated errorscited by 0