Lars Doorenbos
Papers
2
Total Citations
14
H-Index
2
About
Lars Doorenbos is a pioneering researcher at the intersection of robotics, artificial intelligence, and surgical automation. His work focuses on developing intelligent, safe, and intuitive robotic systems for minimally invasive and microsurgical procedures. Doorenbos's major contributions include the creation of SuFIA, the first framework for natural language-guided augmented dexterity in robotic surgical assistants. By integrating large language models with perception modules, SuFIA enables high-level planning and low-level control, allowing surgeons to command robots through conversational instructions. This work, published in 2024, has already garnered 9 citations for its novel approach to human-robot collaboration. Additionally, Doorenbos has advanced safety in medical robotics through his work on unsupervised out-of-distribution (OoD) detection for robotically guided retinal microsurgery. His 2023 paper, with 5 citations, addresses the critical challenge of identifying novel or anomalous inputs during deployment—a fundamental requirement for safe machine learning in high-stakes environments. By enhancing both the cognitive and safety capabilities of surgical robots, Doorenbos is helping to usher in a new era of autonomous and semi-autonomous surgical assistance.
Research Focus
Key Achievements
Top Papers
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