Papers
11
Total Citations
269
H-Index
7
About
Ameya Pore is a leading researcher at the intersection of autonomous robotic surgery, reinforcement learning (RL), and medical robotics. His work focuses on developing intelligent, safe, and autonomous systems for minimally invasive procedures, with a particular emphasis on soft tissue manipulation, intraluminal navigation, and colonoscopy. Pore’s major contributions include pioneering the use of deep RL combined with formal verification to ensure safe tissue retraction—a critical step toward reducing surgeons’ cognitive load and improving precision. His 2020 paper on soft tissue simulation environments for RL has garnered 71 citations, while his systematic review on autonomous navigation for intraluminal and endovascular procedures (2023) has been cited 58 times, underscoring its influence in shaping the field. Pore has also advanced hierarchical task decomposition for pick-and-place subtasks and developed the EndoVine soft robotic endoscope for colonoscopy. His work on safe RL and end-to-end deep visuomotor control for colonoscopy navigation demonstrates a commitment to translating simulation-trained policies into real-world clinical tools. With over 250 cumulative citations, Pore is a rising authority in surgical autonomy, bridging simulation, verification, and practical robotic systems.
Research Focus
Key Achievements
Top Papers
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- 7On Simple Reactive Neural Networks for Behaviour-Based \nReinforcement Learning15 citations · 2020
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- 9EndoVine: Soft Robotic Endoscope for Colonoscopy3 citations · 2022
- 10Learning from Demonstrations for Autonomous Soft-tissue Retraction2 citations · 2021